Evidence map›Paper›PMID 34507352›Full record

ArticleBlood advances2021

A prognostic model (BATAP) with external validation for patients with transplant-associated thrombotic microangiopathy.

Peng Zhao, Ye-Jun Wu, Yun He, Shan Chong, Qing-Yuan Qu, Rui-Xin Deng, Xiao-Wan Sun, Qiu-Sha Huang, Xiao Liu, Xiao-Lu Zhu and 14 more

Open access · goldAbstract read
In one paragraph

Article in Blood advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
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  12. Thrombotic microangiopathies: An illustrated review.Research and practice in thrombosis and haemostasis · 2022
    Review
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

24 authors at 1 institution in 1 country.

Peng ZhaoPeking University People's Hospital, Peking University Institute of Hematology, Beijing, China.
Ye-Jun WuPeking University People's Hospital, Peking University Institute of Hematology, Beijing, China.
Yun HePeking University People's Hospital, Peking University Institute of Hematology, Beijing, China.
Shan ChongPeking University People's Hospital, Peking University Institute of Hematology, Beijing, China.
Qing-Yuan QuPeking University People's Hospital, Peking University Institute of Hematology, Beijing, China.
Rui-Xin DengPeking University People's Hospital, Peking University Institute of Hematology, Beijing, China.
Xiao-Wan SunPeking University People's Hospital, Peking University Institute of Hematology, Beijing, China.
Qiu-Sha HuangPeking University People's Hospital, Peking University Institute of Hematology, Beijing, China.
Xiao LiuPeking University People's Hospital, Peking University Institute of Hematology, Beijing, China.
Xiao-Lu ZhuPeking University People's Hospital, Peking University Institute of Hematology, Beijing, China.
Feng-Rong WangPeking University People's Hospital, Peking University Institute of Hematology, Beijing, China.
Yuan-Yuan ZhangPeking University People's Hospital, Peking University Institute of Hematology, Beijing, China.
Xiao-Dong MoPeking University People's Hospital, Peking University Institute of Hematology, Beijing, China.
Wei HanPeking University People's Hospital, Peking University Institute of Hematology, Beijing, China.
Jing-Zhi WangPeking University People's Hospital, Peking University Institute of Hematology, Beijing, China.
Yu WangPeking University People's Hospital, Peking University Institute of Hematology, Beijing, China.
Huan ChenPeking University People's Hospital, Peking University Institute of Hematology, Beijing, China.
Yu-Hong ChenPeking University People's Hospital, Peking University Institute of Hematology, Beijing, China.
Xiang-Yu ZhaoPeking University People's Hospital, Peking University Institute of Hematology, Beijing, China.
Ying-Jun ChangPeking University People's Hospital, Peking University Institute of Hematology, Beijing, China.
Lan-Ping XuPeking University People's Hospital, Peking University Institute of Hematology, Beijing, China.
Kai-Yan LiuPeking University People's Hospital, Peking University Institute of Hematology, Beijing, China.
Xiao-Jun HuangPeking University People's Hospital, Peking University Institute of Hematology, Beijing, China.ORCID 0000-0002-2145-6643
Xiao-Hui ZhangPeking University People's Hospital, Peking University Institute of Hematology, Beijing, China.
Peking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transplant-associated thrombotic microangiopathy (TA-TMA) is a potentially life-threatening complication following allogeneic hematopoietic stem cell transplantation (allo-HSCT). Information on markers for early prognostication remains limited, and no predictive tools for TA-TMA are available. We attempted to develop and validate a prognostic model for TA-TMA. A total of 507 patients who developed TA-TMA following allo-HSCT were retrospectively identified and separated into a derivation cohort and a validation cohort, according to the time of transplantation, to perform external temporal validation. Patient age (odds ratio [OR], 2.371; 95% confidence interval [CI], 1.264-4.445), anemia (OR, 2.836; 95% CI, 1.566-5.138), severe thrombocytopenia (OR, 3.871; 95% CI, 2.156-6.950), elevated total bilirubin (OR, 2.716; 95% CI, 1.489-4.955), and proteinuria (OR, 2.289; 95% CI, 1.257-4.168) were identified as independent prognostic factors for the 6-month outcome of TA-TMA. A risk score model termed BATAP (Bilirubin, Age, Thrombocytopenia, Anemia, Proteinuria) was constructed according to the regression coefficients. The validated c-statistic was 0.816 (95%, CI, 0.766-0.867) and 0.756 (95% CI, 0.696-0.817) for the internal and external validation, respectively. Calibration plots indicated that the model-predicted probabilities correlated well with the actual observed frequencies. This predictive model may facilitate the prognostication of TA-TMA and contribute to the early identification of high-risk patients.

Indexed as

Hematopoietic Stem Cell TransplantationThrombotic MicroangiopathiesHumansPrognosisRetrospective StudiesRisk Factors

Identifiers

PMID34507352
PMCPMC8714708
OpenAlexW3198784394

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.