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Record W4405051217 · doi:10.1182/blood-2024-204446

Effects of Obesity on Stem Cell Transplant Outcomes in Acute Myeloid Leukemia Patients: A Systematic Review and Meta-Analysis

2024· review· en· W4405051217 on OpenAlexaboutno aff
Sakditad Saowapa, Natchaya Polpichai, Chalothorn Wannaphut, Manasawee Tanariyakul, Diego Olavarria Bernal, Hector Garcia Pleitez, Phuuwadith Wattanachayakul, Thanathip Suenghataiphorn, Narathorn Kulthamrongsri, Maireigh McCullough, Mariana Moreira, Pharit Siladech, Tulaton Sodsri, Lukman Tijani

Bibliographic record

VenueBlood · 2024
Typereview
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineInternal medicineHematopoietic stem cell transplantationMyeloid leukemiaTransplantationOncologyLeukemiaMeta-analysisCancerStem cellBiology

Abstract

fetched live from OpenAlex

Background: Acute myeloid leukemia is a type of hematologic malignancy that specifically affects the stem cell progenitors of the myeloid origin. The malignancy is one of the most commonly diagnosed leukemias, with its annual incidence being as high as 25% of all the leukemia cases diagnosed. The overall prognosis of this cancer is generally poor. However, the development of aggressive therapies, such as hematopoietic stem cell transplants, has tremendously improved the prognosis. It is therefore necessary that the different factors that affect the response of these patients to hematopoietic stem cell transplantation (HSCT), such as obesity, be analyzed. Methodology: A systematic search was conducted on three electronic databases, Google Scholar, Science Direct, and PubMed, for relevant peer-reviewed articles from inception to April 2024. After a detailed review based on predetermined eligibility criteria, only the articles that met the inclusion criteria were used in the data extraction and analysis. We utilized the Review Manager software for all statistical analyses and the Newcastle Ottawa Scale for quality appraisal for all included studies. Results: The online search yielded 240 studies; however, after careful assessment based on our predetermined eligibility criteria, only five studies were included, and the various data obtained were used in the data analysis. Our analysis showed that obese patients who received HSCT did not have significantly different risk of death compared to the normal weight patients OS RR (1.08; 95% CI [0.98, 1.20] p= 0.13). When subgroup analysis was conducted, the risk of mortality was increased in patients who received allogeneic stem cells RR ( 1.11; 95% CI [1.01, 1.22] p =0.04), and no difference was observed in those who received autologous stem cells RR ( 0.71; 95% CI [0.34, 1.59] p = 0.37). Similarly, obesity did not significantly reduce the risk of leukemia relapse RR (0.89;95% CI [0.78, 1.01] P = 0.08). However, in those that received allogeneic HSCT, the risk of relapse was reduced in obese patients RR (0.86; 95% CI [0.75, 0.99] p= 0.03), and no significant difference was observed in those patients that received autologous stem cells RR (1.19; 95% CI [0.81, 1.75] P=0.38). Conclusion: Based on our analysis, obesity did not significantly affect the prognosis of AML patients who received HSCT. However, when allogeneic HSCT was considered, obesity increased the risk of mortality and reduced the risk of leukemia relapse. However, since the analysis was based on a limited number of studies, we recommended that further studies be conducted to generate enough empirical evidence on the impact of obesity on the prognosis of AML patients who received HSCT.

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)0.008
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.013
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.024
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0130.027
Bibliometrics0.0060.007
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.031
GPT teacher head0.316
Teacher spread0.285 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

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
Published2024
Admission routes1
Has abstractyes

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