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Record W2913760846 · doi:10.1182/blood-2018-99-112306

Is There Difference between the Survival Rate and Treatment Related Complications between Peripheral Blood Stem Cell Transplantation and Bone Marrow Transplantation for Pediatric Hematological Malignancy?: Systematic Review and Meta-Analysis

2018· article· en· W2913760846 on OpenAlexaboutno aff
Yuko Shimosato-Wada, Reo Tanoshima, Shinichi Tujimoto, Masanobu Takeuchi, Norio Shiba, Tohru Kobayashi, Shuichi Ito

Bibliographic record

VenueBlood · 2018
Typearticle
Languageen
FieldMedicine
TopicHematopoietic Stem Cell Transplantation
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineTransplantationHematopoietic stem cell transplantationMeta-analysisInternal medicineSurgeryOncology

Abstract

fetched live from OpenAlex

Abstract Background: As a source of cells for hematopoietic cell transplantation (HCT), peripheral blood stem cells (PBSC) have become a major alternative to bone marrow, the most common source of cells. A meta-analysis showed that the use of PBSC in adults is not superior with respect to overall survival, and the incidence of chronic graft-versus-host disease (GVHD) is more frequent after PBSC transplantation (PBSCT) than after bone marrow transplantation (BMT). Furthermore, several studies suggested that PBSCT in children results in poor overall survival compared with BMT, and the benefit of PBSCT is controversial. To elucidate this question, we conducted a systematic review and meta-analysis to compare the survival rate and treatment related complications of pediatric patients receiving PBSCT with those receiving BMT. Methods: Based on the pre-defined protocol, MEDLINE, EMBASE plus EMBASE classics, Cochrane Central Register of Controlled Trials, the International Clinical Trials Registry Platform Search Portal and Clinical Trials.gov records were searched from inception through July 25, 2018 with no language restriction. The search terms included "hematopoietic stem cell transplantation" AND "allogeneic transplantation" AND "children". We included randomized control studies or cohort studies. The Newcastle-Ottawa Quality Assessment Scale was used to evaluate study quality. The primary outcome was to evaluate five-year overall survival after HCT. Secondary outcomes were five-year event-free survival after HCT, non-relapse mortality, the incidence of acute and chronic GVHD, and time to platelet and neutrophil engraftment. We performed meta-analyses using random effect models with risk ratios (RR) and a 95% confidence interval (CI). Heterogeneity was assessed using the I-squared statistic and chi-squared test. Publication bias was assessed with funnel plots. Results: We identified a total of 5,248 relevant studies. Seven cohort studies with a total of 4,328 patients (BMT group 3,185 patients and PBSCT group 1,143 patients) were included in the present study. There was no significant difference between PBSCT and BMT for five-year overall survival (RR: 1.17, 95% CI: 0.91-1.52, heterogeneity I2=69%, p=0.22) and five year event free survival (RR: 1.14, 95% CI: 0.93-1.39, heterogeneity I2=57%, p=0.05), respectively. The risk of chronic GVHD in the PBSCT group was higher than those in the BMT group (RR: 1.65, 95% CI: 1.18-2.03, heterogeneity I2=75%, p=0.002). The risk of non-relapse mortality with PBSCT was higher than with BMT (RR: 1.73, 95% CI: 1.50-1.99, heterogeneity I2=0%, p<0.00001), and the relapse rate did not show a significant difference between BMT and PBSCT (RR:1.26, 95% CI: 0.94-1.69, heterogeneity I2=71%, p=0.004). Conclusions: This meta-analysis did not show significant difference in overall survival or relapse between PBSCT and BMT for pediatric hematological malignancy. However, a higher risk of chronic GVHD and transplantation related mortality was associated with PBSCT. Table. Table. Disclosures No relevant conflicts of interest to declare.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.031
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.989
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.031
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0180.035
Bibliometrics0.0060.008
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.059
GPT teacher head0.290
Teacher spread0.230 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designMeta-analysis
DomainMethods
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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