Evidence map›Paper›PMID 33846855›Full record

ArticleAnnals of hematology2021

HLA-DQB1 mismatch increase risk of severe bleeding independently in recipients of allogeneic stem cell transplant.

Jiaqian Qi, Rui Zhang, Chengsen Cai, Hong Wang, Meng Zhou, Wenhong Shen, Yaqiong Tang, Tingting Pan, Depei Wu, Yue Han

Abstract read
PubMed Publisher
In one paragraph

Article in Annals of hematology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 45% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 1 institution in 4 countries.

Jiaqian QiJiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, No.188 Shizi Street, Suzhou, 215000, China.
Rui ZhangJiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, No.188 Shizi Street, Suzhou, 215000, China.
Chengsen CaiJiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, No.188 Shizi Street, Suzhou, 215000, China.
Hong WangJiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, No.188 Shizi Street, Suzhou, 215000, China.
Meng ZhouJiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, No.188 Shizi Street, Suzhou, 215000, China.
Wenhong ShenJiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, No.188 Shizi Street, Suzhou, 215000, China.
Yaqiong TangJiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, No.188 Shizi Street, Suzhou, 215000, China.
Tingting PanJiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, No.188 Shizi Street, Suzhou, 215000, China.
Depei WuJiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, No.188 Shizi Street, Suzhou, 215000, China. wudepeisz@163.com.
Yue HanJiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, No.188 Shizi Street, Suzhou, 215000, China. hanyue@suda.edu.cn.ORCID http://orcid.org/0000-0002-7560-7195
Soochow University · CN

Funding

National Natural Science Foundation of China 81670132National Natural Science Foundation of China 81873432
6 · The paper itself

Abstract

Severe bleeding is a major cause of death in acute leukemia (AL) patients with graft-versus-host disease (GVHD) after allogene hematopoietic stem-cell transplantation (allo-HSCT). However, the prognostic value and prediction of HSCT-associated severe bleeding in GVHD patients have not been reported in cohort studies. We did a retrospective analysis of 200 AL patients with GVHD after allo-HSCT from Feb 1, 2014, to Dec 1, 2015. Multivariate analysis showed that the severe bleeding class was associated with the risk of death (HR 2.26, 95% CI 1.31-3.92, p<0.001***). In order to predict severe bleeding and figure out the solution to bleeding events, we established a multiple logistic regression model. HLA-DQB1 unmatching, megakaryocyte reconsititution failure, and III or IV GVHD were the independent risk factors for severe bleeding. Among all the variations above, OR of HLA-DQB1 was the highest (OR: 16.02, 95% CI: 11.54-48.68). Adding HLA-DQB1 to other factors improved the reclassification for predicting severe bleeding (NRI=0.195, z=2.634, p=0.008**; IDI=0.289, z=3.249, p<0.001***). Lasso regression was used to select variants. A nomogram of the logistic model was generated and displayed. Calibration curve demonstrated excellent accuracy in estimating severe bleeding (C index of 0.935). HLA-DQB1 showed excellent efficacy of predicting severe bleeding in HSCT patients.

Indexed as

AdultFemaleGraft vs Host DiseaseHematopoietic Stem Cell TransplantationHemorrhageHLA-DQ beta-ChainsHumansLeukemia, Myeloid, AcuteMaleRetrospective StudiesRisk FactorsTransplantation ConditioningTransplantation, HomologousHLA-DQB1 antigenHLA-DQ beta-ChainsAcute leukemiaGraft-versus-host diseaseHematopoietic stem-cell transplantationHLA-DQB1Severe bleeding

Identifiers

PMID33846855
OpenAlexW3153878431

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.