Evidence map›Paper›PMID 35211531›Full record

ArticleFrontiers in cardiovascular medicine2022

Corrigendum: Machine Learning for the Prediction of Complications in Patients After Mitral Valve Surgery.

Haiye Jiang, Leping Liu, Yongjun Wang, Hongwen Ji, Xianjun Ma, Jingyi Wu, Yuanshuai Huang, Xinhua Wang, Rong Gui, Qinyu Zhao and 1 more

Abstract readPublished Erratum
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Haiye JiangClinical Laboratory, The Third Xiangya Hospital, Central South University, Changsha, China.
Leping LiuDepartment of Transfusion, The Third Xiangya Hospital, Central South University, Changsha, China.
Yongjun WangDepartment of Blood Transfusion, The Second Xiangya Hospital, Central South University, Changsha, China.
Hongwen JiDepartment of Anesthesiology, Fuwai Hospital National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
Xianjun MaDepartment of Blood Transfusion, Qilu Hospital of Shandong University, Jinan, China.
Jingyi WuDepartment of Transfusion, Xiamen Cardiovascular Hospital Xiamen University, Xiamen, China.
Yuanshuai HuangDepartment of Transfusion, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
Xinhua WangDepartment of Transfusion, Beijing Aerospace General Hospital, Beijing, China.
Rong GuiDepartment of Transfusion, The Third Xiangya Hospital, Central South University, Changsha, China.
Qinyu ZhaoDepartment of Transfusion, The Third Xiangya Hospital, Central South University, Changsha, China.
Bingyu ChenDepartment of Transfusion, Zhejiang Provincial People's Hospital, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

[This corrects the article DOI: 10.3389/fcvm.2021.771246.].

Indexed as

cardiac valvular surgerycomplicationsmachine learningmodelpredict

Identifiers

PMID35211531
PMCPMC8862737

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.