Evidence map›Paper›PMID 39514235›Full record

ArticleClinical and translational medicine2024

Unsupervised learning-derived phenotypes for personalized fluid management in critically ill patients with heart failure: A multicenter study.

Chengjian Guan, Angwei Gong, Yan Zhao, Hangtian Yu, Shuaidan Zhang, Zhiyi Xie, Yehui Jin, Xiuchun Yang, Jingchao Lu, Bing Xiao

Abstract readLetter
In one paragraph

Article in Clinical and translational medicine, 2024. 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

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.

Chengjian GuanDepartment of Cardiology, The Second Hospital of Hebei Medical University, Shijiazhuang, People's Republic of China.
Angwei GongDepartment of Cardiology, The Second Hospital of Hebei Medical University, Shijiazhuang, People's Republic of China.
Yan ZhaoDepartment of Cardiology, The Second Hospital of Hebei Medical University, Shijiazhuang, People's Republic of China.
Hangtian YuDepartment of Cardiology, The Second Hospital of Hebei Medical University, Shijiazhuang, People's Republic of China.
Shuaidan ZhangDepartment of Cardiology, The Second Hospital of Hebei Medical University, Shijiazhuang, People's Republic of China.
Zhiyi XieDepartment of Cardiology, The Second Hospital of Hebei Medical University, Shijiazhuang, People's Republic of China.
Yehui JinDepartment of Cardiology, The Second Hospital of Hebei Medical University, Shijiazhuang, People's Republic of China.
Xiuchun YangDepartment of Cardiology, The Second Hospital of Hebei Medical University, Shijiazhuang, People's Republic of China.
Jingchao LuDepartment of Cardiology, The Second Hospital of Hebei Medical University, Shijiazhuang, People's Republic of China.
Bing XiaoDepartment of Cardiology, The Second Hospital of Hebei Medical University, Shijiazhuang, People's Republic of China.ORCID https://orcid.org/0000-0001-9526-4575

Funding

The S&T Program of Hebei No.22377728D
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID39514235
PMCPMC11546239

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.