Article Text

Original research
Use of tyrosine kinase inhibitors for paediatric Philadelphia chromosome-positive acute lymphoblastic leukaemia: a systematic review and meta-analysis
  1. Min Chen1,2,
  2. Yiping Zhu2,3,
  3. Yunzhu Lin1,2,
  4. Tianzi Tengwang4,
  5. Lingli Zhang1,2
  1. 1Department of Pharmacy/Evidence-Based Pharmacy Center, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
  2. 2Key Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Ministry of Education, Chengdu, Sichuan, China
  3. 3Department of Pediatric Hematology and Oncology, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
  4. 4West China School of Pharmacy, Sichuan University, Chengdu, Sichuan, China
  1. Correspondence to Dr Lingli Zhang; zhlingli{at}


Objectives To investigate the effectiveness and safety of tyrosine kinase inhibitors (TKIs) in the management of paediatric Philadelphia chromosome-positive acute lymphoblastic leukaemia (Ph+ALL).

Design A systematic review and meta-analysis.

Data sources Electronic searches were conducted on CENTRAL, MEDLINE, EMBASE, SIOP, ASPHO, ASCO, ASH and four Chinese databases from inception to 8 March 2020. Language of publications was restricted in English and Chinese.

Eligibility criteria Prospective and retrospective comparative studies were included.

Data extraction and synthesis Two authors independently assessed and extracted data. Quality of studies was assessed by the Cochrane Collaboration’s tool and Newcastle-Ottawa Scale. Subgroup analysis was performed by comparing different types of TKIs. Quality of evidence was assessed using the Grading of Recommendations Assessment, Development and Evaluation approach.

Results Two randomised controlled trials (RCTs) and four cohort studies enrolling 536 patients were included. For RCTs, the pooled HR was 0.68 (95% CI 0.26 to 1.78) in overall survival (OS), 0.63 (95% CI 0.28 to 1.42) in event-free survival (EFS), respectively, comparing TKI arm with non-TKI arm for treatment of paediatric Ph+ALL. There was significant difference in OS and EFS between imatinib arm and dasatinib arm (HR 2.26, 95% CI 1.02 to 5.01; HR 2.36; 95% CI 1.27 to 4.39, respectively). For cohort studies, the pooled HR was 0.25 (95% CI 0.14 to 0.47) in OS, 0.25 (95% CI 0.12 to 0.56) in EFS, respectively, comparing TKI arm with non-TKI arm. There was no significance difference in adverse drug reaction between TKI group and without TKI group (risk ratio (RR) 0.82, 95% CI 0.63 to 1.08 in RCT; RR 1.01, 95% CI 0.64 to 1.59 in cohort studies; respectively), and imatinib versus dasatinib (RR 0.97, 95% CI 0.77 to 1.23). The quality of evidence was rated as low for OS, EFS and adverse drug reaction (ADR).

Conclusions The combination of TKIs with chemotherapy is likely to improve the OS and EFS rates in paediatric Ph+ALL, and dasatinib is superior than imatinib. Large sample size and prospective controlled studies are warranted.

PROSPERO registration number CRD42018104107.

  • leukaemia
  • paediatric oncology
  • clinical trials

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Strengths and limitations of this study

  • This study is the first systematic review and meta-analysis of the effectiveness and safety of TKIs in the management of paediatric Ph+ALL.

  • The present review included both prospective and retrospective comparative studies.

  • The Grading of Recommendations Assessment, Development and Evaluation approach was used to evaluate the quality of the evidence.

  • This review was limited by the small number of studies and the heterogeneity of study design.


Philadelphia chromosome-positive acute lymphoblastic leukaemia (Ph+ALL), which occurs in approximately 3%–5% of paediatric ALL patients, is recognised as a severe disease but leading to a dismal prognosis compared with those with Philadelphia chromosome-negative ALL.1

In the past decades, intensive chemotherapy has been used in the treatment of paediatric Ph+ALL patients.2 3 Later, haematopoietic stem cell transplant (HSCT) in first complete remission (CR1) was considered the treatment of choice due to the improved rate of overall survival (OS) and event-free survival (EFS) than intensive chemotherapy alone. However, the mortality rate associated with transplantation was almost 50%.4 5 Recent studies suggested that tyrosine kinase inhibitors (TKIs) targeting BCR-ABL fusion protein combined with chemotherapy may be an alternative effective therapy.6 In adult patients with Ph+ALL, the use of TKIs in combination with chemotherapy was capable to increase the CR and HSCT rates and improve the early outcome.7 In paediatric patients, the Children’s Oncology Group (COG) trial AALL0031 had shown 80% 3-year EFS for Ph+ALL patients treated with intensive chemotherapy plus continuous 340 mg/m2 imatinib. The addition of imatinib to chemotherapy has similar outcomes to HSCT, especially in patients who responded favourably.8 Long-term follow-up confirmed the favourable outcomes for these patients treated with imatinib plus intensive chemotherapy and HSCT seemed to be of no benefit.9 However, the trial was observational and confirmatory results are not yet available from the European intergroup study on post-induction treatment of Ph+ALL with imatinib trial.10

Newer TKIs including dasatinib and nilotinib were developed for those patients with resistance to imatinib. The resistance mechanisms are commonly associated with acquiring kinase domain mutations, reduced drug availability and activation of other signalling pathways such as the SRC family kinases.11 12 Dasatinib is the more commonly used dual ABL/SRC kinase inhibitor. It can cross the blood–brain barrier to eradicate central nervous system leukaemia and play a role in most cases of imatinib resistance.13 14 For patients with BCR-ABL T315I mutation Ph+ALL, the third-generation TKI ponatinib was reported as a valuable alternative treatment option.15 16

Incorporation of TKIs into frontline regimens for patients with newly diagnosed Ph+ALL may be the current general consensus. However, this view may not be universally accepted. It will be helpful to analyse systematically to determine if it is truly beneficial to add TKIs to conventional chemotherapy. Therefore, our objective is to investigate the current available evidence on the effectiveness and safety of TKIs in the management of paediatric Ph+ALL.


This protocol was registered in the international PROSPERO register of systematic reviews.

Patient and public involvement

Patients and the public were not be involved in this review.

Search strategy

We searched the Cochrane Central Register of Controlled Trials (CENTRAL) published in the Cochrane Library, MEDLINE in PubMed, EMBASE (Ovid), the Chinese Biomedical Literature Database (CBM), Chinese National Knowledge Infrastructure (CNKI), VIP Database for Chinese Technical Periodicals (VIP) and WANFANG for English and Chinese references. The full search strategies used in this study were detailed in online supplemental file 1. Retrieval time was from the inception of the database to 8 March 2020.

The following societies of conference proceedings of annual meetings (from the inception of TKIs treatment till 8 March 2020) were scanned:

  1. International Society for Paediatric Oncology (SIOP).

  2. American Society for Pediatric Hematology and Oncology (ASPHO).

  3. American Society of Clinical Oncology (ASCO).

  4. American Society of Hematology (ASH).

Inclusion and exclusion criteria

Study designs

There were limited randomised controlled trials (RCTs) in the treatment of paediatric patients with Ph+ALL; hence, we included retrospective and prospective cohort/case–control/randomised studies. Studies that did not include a comparative group of patients, duplicate studies, abstracts and historical control studies were excluded.


All patients aged 1–18 years with Ph positive status diagnosed by cytogenetic or molecular were included. Participants with Ph negative at diagnosis but positive at relapse, more than two types of malignant neoplasm, relapse or refractory Ph+ALL were excluded.


TKIs alone, TKIs combined with other intervention.


Treatment without TKIs.


  1. OS, defined as time from start of treatment to death from any cause.

  2. EFS, defined as time from start of treatment to an event, such as remission failure, relapse, death from any cause, abandonment of treatment, second malignancy or to the date of last follow-up contact.

  3. Adverse drug reaction (ADR), collected and scored according to the National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI-CTCAE) or other criterion by investigators and clinical research coordinators.

Data extraction

Literature search results were uploaded to EndNote V.X7. Two authors independently screened the title and abstract of all studies identified by the search strategy and obtained full articles for all potentially relevant trials. Disagreements were resolved by consensus between authors or achieved final resolution using a third-party arbitrator.

Two authors independently used a predesigned data collection form to extract data from each study. The items included: characteristics of the trial (author, country, publication year, design, etc), participants (age, sex, etc), interventions (dose, regimen, etc), outcomes and length of follow-up.

Risk of bias in individual studies

Two authors independently assessed the risk of bias using a standard form. For randomised trials, we used the domain-based evaluation recommended by the Cochrane Handbook for Systematic Reviews of Intervention to address the following domains: bias arising from the randomisation process, bias due to deviations from intended interventions, bias due to missing outcome data, bias in measurement of the outcome and bias in selection of the reported result.17 Plots of ‘Risk of Bias’ assessment were created using Review Manager V.5 (RevMan V.5). For non-randomised trials, we used the Newcastle-Ottawa Scale (NOS) items that were categorised into three broad perspectives: the selection of the study groups, the comparability of the groups and the ascertainment of either the exposure or outcome of interest for case–control or cohort studies, respectively.18 The maximum total score of NOS is 9 points.

Data analysis and synthesis

Strategy for data analysis

For dichotomous data, we used the risk ratio (RR) with 95% CI as the effect measure. For time-to-event data, which take into account of the number and timing of events, we summarised and analysed data using HR with their corresponding 95% CI.17 We used Parmar’s method if HR was not explicitly presented in the research.19

Assessment of heterogeneity

We quantified heterogeneity using the I² statistic, which illustrated the percentage of the variability in effect estimates resulting from heterogeneity. In the absence of significant heterogeneity (I2 less than 50%), we used a fixed-effect model for the estimation of treatment effect.17 Otherwise, we explored possible reasons for the occurrence of heterogeneity and used random-effects model.

Data synthesis

We entered data into the RevMan 5 software and made analyses according to the guidance provided in the Cochrane Handbook for Systematic Reviews of Interventions.20 We pooled results only if both treatment groups were comparable, including the outcome definition. Otherwise, we presented a narrative summary. If different analysis methods (such as intention-to-treat analysis, as-treated analysis) are used in the evaluation of benefits between groups, we adopt the results of the intention-to-treat analysis to reduce bias.

Assessment of reporting biases

If we include 10 or more trials, we use funnel plots to assess biases including publication bias and other reporting biases. If there are biases, the funnel plots may be asymmetrical.

Subgroup analysis

Considering that different types of TKIs might affect the outcomes, we conducted a subgroup analysis.

Grading the evidence

We used the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach to rate the quality of evidence.21 In the GRADE approach, RCTs start as high-quality evidence. Five factors may lead to downgrading the quality of evidence. These factors include risk of bias, inconsistency, indirectness, imprecision and publication bias. Observational studies (including cohort and case–control studies) start as low-quality evidence. Three factors may lead to upgrading the quality of evidence, and these factors are large effect, dose response and all plausible residual confounding. The quality of the evidence was rated as high, moderate, low or very low. We used GRADEpro software (GRADEpro 2011) to create a ‘Summary of findings’ table for all three outcomes listed above.


Study selection

Our search strategy identified 2476 references from the electronic searches and 69 from other sources. Two hundred and fifty-two duplicate publications and 1928 articles were excluded after reviewing the title and abstract because they failed to meet the inclusion criteria such as type of article, study design, population or outcome of interest. Three hundred and sixty-five articles underwent full-text review and six literature were included in the final data analysis. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses flow chart of bibliographic search was illustrated in figure 1.

Figure 1

Preferred Reporting Items for Systematic Reviews and Meta-Analyses flow chart. This flow diagram illustrated the results of search and the process of screening and selecting studies for inclusion and the reasons for exclusions in this review. Ph+ALL,Philadelphia chromosome-positive acute lymphoblastic leukaemia; TKI, tyrosine kinase inhibitor.

Characteristics of included studies

Six articles10 22–26 (two prospective randomised open-label controlled trials and four retrospective cohort studies) were included in our analysis. Five studies10 23–26 evaluated the efficacy and safety of TKIs in association with multidrug chemotherapy or chemotherapy alone in paediatric patients with Ph+ALL. Two of these studies25 26 came from the same research institution. Among them, one study25 retrospectively analysed 53 cases between 2008 and 2013. The other26 retrospectively analysed 92 cases between 2003 and 2012. One RCT22compared the effect of dasatinib versus imatinib. Overall, 536 children aged 1–18 years with a confirmed diagnosis of Ph+ALL contributed to the analysis. The chemotherapy regimen was modelled on Berlin-Frankfurt-Munster high-risk arm, the Chinese Childhood Leukemia Group ALL high-risk arm and the Chinese Children’s Cancer Group ALL intermediate-risk arm. TKI drugs included first-generation imatinib and second-generation dasatinib. Patients were prescribed oral imatinib (260–340 mg/m2/day) or dasatinib (40–80 mg/m2/day) on day 8, day 22 of remission induction or the end of induction. The exposure of TKIs ranged from 56 days to the end of therapy. Table 1 described the detailed characteristics of the studies included in this meta-analysis.

Table 1

Main characteristics of the studies included in this meta-analysis

Risk of bias assessment in included studies

Figure 2 provided quality assessment of RCTs and table 2 described quality assessment of non-RCTs. In the two prospective trials, stratified randomisation was done centrally with web-based randomisation system and both were open label. Therefore, the random sequence generation was low risk while the blindness was high risk. All studies had low risk bias in incomplete outcome data, selective reporting and other issues. In four cohort studies, the NOS methodological score was 7–8 points. In the selection section, both exposed cohort and unexposed cohort were drawn from the same source of participant. Data was collected and retrospectively reviewed from medical records. Outcome was not present at the beginning of all studies. In the comparability section, the three studies did not describe important confounding factors, except for TKI treatment between exposed and unexposed cohorts among paediatric Ph+ALL. In the outcome section, one study was followed up for 2 years, which might not be long enough for outcomes to occur. One study did not describe the patient’s loss of follow-up. Overall, the retrospective research has high-quality NOS scores. Therefore, the risk of bias of RCTs was rated as moderate and the cohort studies were rated as low.

Figure 2

The quality assessment of randomised clinical trials. This plot is created by the software of RevMan V.5.3. It illustrated the quality of included randomised clinical trials with each of the judgement (‘low risk’, ‘high risk’ or ‘unclear risk’ of bias).

Table 2

The quality assessment in cohort studies

TKI versus non-TKI

Overall survival

Four studies (one RCT, three cohort studies)10 23 24 26 with a total of 294 patients were included in the meta-analysis of OS for paediatric Ph+ALL patients. The pooled HR of OS in patients with TKI use was 0.68 (95% CI 0.26 to 1.78, p=0.43) in RCT and 0.25 (95% CI 0.14 to 0.47, p<0.05) in cohort studies, respectively. Figure 3 showed the forest plot of the included studies.

Figure 3

Meta-analysis of the effectiveness of tyrosine kinase inhibitors (TKIs) on overall survival, TKI versus non-TKI. The square data markers represent HR; horizontal lines, the 95% CIs with marker size reflecting the statistical weight of the study using fixed-effects meta-analysis. A diamond data marker represents the overall HR and 95% CI for the outcome of interest. RCT, randomised controlled trial.

Event-free survival

The primary outcome in one RCT10 was disease-free survival (DFS) because the group only included good-risk patients in CR1 and poor-risk patients were not included. Therefore, in this meta-analysis, DFS was considered equivalent to EFS. Four studies (one RCT, three cohort studies)10 24–26 reported the EFS. Because Liu et al26 covered a longer period with larger number of patients, their results for EFS were included and those from Guo et al25 were excluded. Finally, a total of 200 patients were included. The pooled HR of EFS in Ph+ALL patients using TKI was 0.63 (95% CI 0.28 to 1.42, p=0.26) in RCT and 0.25 (95% CI 0.12 to 0.56, p<0.05) in cohort studies, respectively. Figure 4 showed the forest plot of the included studies.

Figure 4

Meta-analysis of the effectiveness of tyrosine kinase inhibitors (TKIs) on event-free survival, TKI versus non-TKI. The square data markers represent HR; horizontal lines, the 95% CIs with marker size reflecting the statistical weight of the study using fixed-effects meta-analysis. A diamond data marker represents the overall HR and 95% CI for the outcome of interest. RCT, randomised controlled trial.

Adverse drug reaction

Three studies (one RCT, two cohort studies)10 23 25 reported serious ADR in patients with Ph+ALL. Heterogeneity in the cohort studies was significant (I2=58%). We used a random-effect model for the estimation of treatment effect. In RCT, myelosuppression was the main cause of ADR. The proportions of patients with the most commonly reported serious ADR did not differ substantially between imatinib group and non-imatinib group (p=0.64). The most common serious ADR was infection, including fungal infection, localised infection and others. The pooled RR of serious ADR in patients with TKI use was 0.82 (95% CI 0.63 to 1.08, p=0.16) in RCT. Result of the cohort studies was consistent with RCT. The pooled RR was 1.01 (95% CI 0.64 to 1.59, p=0.12) (figure 5).

Figure 5

Meta-analysis of the safety of tyrosine kinase inhibitors (TKIs) on adverse drug reaction, TKI versus non-TKI. The square data markers represent risk ratio (RR); horizontal lines, the 95% CIs with marker size reflecting the statistical weight of the study using random-effects meta-analysis. A diamond data marker represents the overall RR and 95% CI for the outcome of interest. RCT, randomised controlled trial.

Different TKIs

One RCT22 with a total of 189 Ph+ALL children compared the OS, EFS and ADR of oral imatinib at a daily dosage of 300 mg/m2 versus dasatinib at a daily dosage of 80 mg/m2, in combination with an intensive chemotherapy backbone. The HR of OS was 2.26 (95% CI 1.02 to 5.01, p=0.04). The HR of EFS was 2.36 (95% CI 1.27 to 4.39; p<0.05). There was no significant difference in the frequency of severe toxic effects between dasatinib and imatinib arms (RR 0.97; 95% CI 0.77 to 1.23, p=0.81). Infections constituted the most common serious adverse events. Approximately 5% of the patients in each arm died of fatal infections and 7% of patients in each treatment arm had disseminated fungal infections. The incidence of pleural effusion was 2% in the imatinib group and 4% in the dasatinib group. However, this difference was also not significant (p=0.44).

GRADE assessment

The evidence provided by the RCTs was low quality for both comparison of TKI-based chemotherapy regimens versus chemotherapy alone, and the comparison of imatinib and dasatinib. The quality was downgraded by the risk of bias and imprecision due to high risk in blindness and wide 95% CI for effect estimates. Meanwhile, the evidence that the cohort studies provided to this review was of moderate quality. It was upgraded by the large magnitude of treatment effect. A summary of the GRADE assessment was shown in online supplemental file 2.


TKIs have revolutionised the management of Ph+ALL patients. The National Comprehensive Cancer Network has recommended the use of TKI-based chemotherapy regimens for the adolescents and adults with Ph+ALL.7 Systematic review by Warraich et al comprising 18 prospective and retrospective studies with 462 participates showed that utilisation of TKI (all generations) post allo-HSCT for adults patients in CR1 improved OS when given as prophylactic or pre-emptive regimen.27 However, it is unclear whether this observed improvement of TKIs is significant in children. To our knowledge, our research is the first systematic review to investigate whether adding TKIs to conventional chemotherapy is indeed beneficial in paediatric Ph+ALL. Our research applied strict inclusion criteria and only those studies had comparative group of patients. Eventually, a meta-analysis was performed including one RCT and four non-RCTs with or without TKI treatment, and one RCT comparing dasatinib and imatinib in paediatric Ph+ALL.

TKI versus non-TKI

The included randomised trial EsPhALL 200410 demonstrated that imatinib in conjunction with intensive chemotherapy might be beneficial for treating children with Ph+ALL. The 4-year DFS in good-risk patients who received intensive chemotherapy and discontinuous post-induction imatinib 300 mg/m2/day increased by approximately 20% compared with patients receiving chemotherapy alone (75.2% vs 55.9%). The long-term follow-up outcome showed 5-year DFS in the imatinib arm of 75.5% vs 61.4% in the no imatinib arm (p=0.20).28 However, the benefit was not significant. The pooled HR was 0.68 (95% CI 0.26 to 1.78) in OS, 0.63 (95% CI 0.28 to 1.42) in EFS, respectively, comparing TKI arm with non-TKI arm in combination with intensive chemotherapy. But the results were reversed by the meta-analysis including four high-quality cohort studies (NOS score ≥7). In these cohort studies, the pooled HR was 0.25 (95% CI 0.14 to 0.47) in OS, 0.25 (95% CI 0.12 to 0.56) in EFS, respectively, comparing TKI arm with non-TKI arm. The different results may be owing to the various regimen of timing and dosage of TKIs and the interference of HSCT during treatment.

In the EsPhALL 2004 study, imatinib was used at a dose of 300 mg/m2 for 126 days after induction. In cohort studies, imatinib 260–340 mg/m2 was started after induction or earlier on day 15 of remission induction. Most of the cohort studies have continued to use TKIs throughout chemotherapy unless severe infections, intolerance to TKIs or neutropenia with fever. Early and continuous exposure of imatinib may improve outcomes of OS and EFS. However, a prospective, open-label, single-arm clinical trial EsPhALL2010, the successor of EsPhALL 2004, administrated imatinib 300 mg/m2/day continuously from day 15 of induction, displayed similar results to EsPhALL2004.29

The outcome of comparison between TKIs with chemotherapy versus HSCT treatment was limited in the current studies. The investigators from the COG reported the long-term outcome of paediatric Ph+ALL, showing the equivalent efficacy between the patients who received at least 280 continuous days of imatinib and those who underwent HSCT.9 Two other retrospective studies indicated that there was no significant difference in OS or EFS between HSCT and chemotherapy with TKI treatment, which was consistent with COG study.30 31 In the included study EsPhALL 2004,10 about 80% of the patients had HSCT, 37 out of 46 in the imatinib group and 32 out of 44 in the non-imatinib group. This might lead to no statistical difference between the two groups of results in this RCT. However, the difference in the treatment outcomes of TKI combined with chemotherapy and HSCT for paediatric Ph+ALL has not been proven.

Different TKIs

In previous studies of imatinib, EFS was approximately 60% at 5 years, but resistance and relapse was common. Disappointingly, COG trial (AALL0622) for treatment of paediatric Ph+ALL did not prove the superior of dasatinib over imatinib. OS and EFS were similar in the preceding trials using imatinib.32 Another COG trial (AALL1122) using dasatinib 60 mg/m2/day is ongoing.33 Now, Shen et al22 reported different outcomes from the first randomised trial directly comparing dasatinib with imatinib. The 4-year OS rate in the dasatinib group was significantly higher than the imatinib group (88.4% vs 69.2%; p=0.04). The 4-year EFS rate for the 92 dasatinib-treated patients was 71.0%, significantly better than the 48.9% for the 97 imatinib-treated patients (p=0.005). In these 189 eligible patients, there was significant difference in OS and EFS between dasatinib arm and imatinib arm (HR 2.26, 95% CI 1.02 to 5.01; HR 2.36, 95% CI 1.27 to 4.39; respectively). It is worth noting that the dose of dasatinib is higher than COG trials and longer follow-up is required to assess whether they represent significant improvement.

Adverse drug reaction

The dosing of imatinib (260–570 mg/ and dasatinib (50–110 mg/m2/day) is well tolerated in children and adolescents with leukaemia.34 35 In the included studies, the daily dose of imatinib and dasatinib 260–340 mg/m2 and 40–80 mg/m2 did not increase the chemotherapy-related toxicity and side effects such as cytopenia and pleural effusions, suggesting that imatinib or dasatinib combined with intensive chemotherapy was well tolerated.36 There was no significance difference in severe ADR between TKI arm and without TKI arm (RR 0.82, 95% CI 0.63 to 1.08 in RCT; RR 1.01, 95% CI 0.64 to 1.59 in cohort studies; respectively). Similarly, no significant difference in the frequency of severe ADR was detected between dasatinib and imatinib arm (RR 0.97, 95% CI 0.77 to 1.23).

Quality of the evidence

The overall quality of the evidence assessed by the GRADE approach was low. Due to the rarity of Ph+ALL in this age group and the dramatic improvement in survival with TKIs reported in observational researches, data from blinded controlled studies are very scarce. In addition, the sample size was small, making the 95% CIs wide. For this reason, we limited confidence in the estimation of effect values. Further studies are likely to have an important impact on our confidence in the estimated effect and may change our estimate.


This meta-analysis has the following limitations. First, the included studies are limited by the small study sample. In addition, HSCT is also a very important factor that needs to be taken into consideration. Even though the addition of the TKIs had improved the 5-year EFS and OS rates, but about 40%–80% patients received transplant. Lastly, this is a meta-analysis of prospective and retrospective studies, which has its inherent limitations. Therefore, we did not combine the results of different types of studies.


Overall, low-quality studies suggested that TKIs combined with intensive chemotherapy were likely to improve the OS and EFS rates in paediatric Ph+ALL, and the second-generation TKI dasatinib was superior to first-generation imatinib. The ADRs of TKIs could be tolerated.

This review highlights the need for future large sample size research for the use of TKIs in the treatment of paediatric Ph+ALL. Further prospective controlled studies are warranted to address remaining questions relating to the appropriate time to use TKIs during chemotherapy, as well as the role of HSCT in the management of these patients.


We wish to thank Tingting Liang, a nuclear pharmacist from Cardinal Health in the United States, for her helping in improving the quality of English.


Supplementary materials

  • Supplementary Data

    This web only file has been produced by the BMJ Publishing Group from an electronic file supplied by the author(s) and has not been edited for content.


  • Contributors MC and LZ contributed to the conception of the study. The manuscript of the review was drafted by MC and revised by YZ. YL and TT independently screened the potential studies and extracted data from the included studies. YL and TT assessed the risk of bias and finished data synthesis. LZ arbitrated any disagreements and ensured that no errors occur during the review. All authors read, provided feedback and approved the final manuscript.

  • Funding This systematic review was funded by the Science and Technology Project of the Health Planning Committee of Sichuan (20PJ069), China.

  • Competing interests None declared.

  • Patient consent for publication Not required.

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • Data availability statement All data relevant to the study are included in the article or uploaded as supplemental information. No additional data are available.

  • Supplemental material This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.