Evidence map›Paper›PMID 42266758›Full record

ArticleAmerican journal of cancer research2026

Establishment and validation of a 28-day clinical outcome prediction model for acute promyelocytic leukemia based on an early platelet-coagulation factor combined transfusion strategy.

Shuaikui Zheng, Xiaocai Zheng, Zhanwei Li

Abstract read
In one paragraph

Article in American journal of cancer research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Shuaikui ZhengDepartment of Blood Transfusion, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University Zhengzhou 450000, Henan, China.
Xiaocai ZhengDepartment of Gastroenterology and Hemorrhoid and Fistula Surgery, Jiaxian People's Hospital Jia County, Pingdingshan 467100, Henan, China.
Zhanwei LiDepartment of Blood Transfusion, The First Affiliated Hospital of Henan University of Science and Technology Luoyang 471000, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early mortality in acute promyelocytic leukemia (APL) remains a major challenge, and the Sanz risk stratification has limited predictive value. This retrospective multicenter study aimed to establish and externally validate a 28-day mortality risk prediction nomogram integrating an early platelet-coagulation factor (PLT-CF) combined transfusion strategy. A total of 631 newly diagnosed APL patients from two tertiary hospitals (2019-2024) were divided into a training cohort (n = 429) and an external validation cohort (n = 202). Independent predictors were identified by multivariate Cox regression and incorporated into a nomogram. Model performance was assessed by time-dependent ROC curves, calibration, decision curve analysis (DCA), and Kaplan-Meier survival analysis, with comparison against the Sanz system. The 28-day mortality rate was 19.02% (120/631). Six independent predictors were identified: decreased fibrinogen (HR = 0.254, P < 0.001), decreased hemoglobin (HR = 0.989, P = 0.034), age ≥ 45 years (HR = 2.037, P = 0.003), Charlson Comorbidity Index score 1-3 (HR = 1.877, P = 0.005), white blood cell count > 10 × 10

Indexed as

Acute promyelocytic leukemiaearly mortalityexternal validationnomogramplatelet-coagulation factors combined transfusionpredictive model

Identifiers

PMID42266758
PMCPMC13243677

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.