Evidence map›Paper›PMID 42807361›Full record

ArticleWorld journal of emergency medicine2026

Real-time dynamic prediction of in-hospital mortality in hyperglycemic crisis patients using temporal deep learning.

Yang Tao, Puguang Xie, Jia Xie, Jiaxin Xie, Feiyi Jiang, Haiping Fan, Jianhua Yang, Bin Liu, Yu Ma, Gangyi Yang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in World journal of emergency medicine, 2026. 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.

Yang Tao1Department of Endocrinology, the Second Affiliated Hospital, Chongqing Medical University, Chongqing 400010, China.
Puguang Xie3Chongqing Key Laboratory of Emergency Medicine, Chongqing Emergency Medical Center, Chongqing University Central Hospital, School of Medicine, Chongqing University, Chongqing 400014, China.
Jia Xie3Chongqing Key Laboratory of Emergency Medicine, Chongqing Emergency Medical Center, Chongqing University Central Hospital, School of Medicine, Chongqing University, Chongqing 400014, China.
Jiaxin Xie4Department of Clinical Laboratory, Chongqing Emergency Medical Center, Chongqing University Central Hospital, School of Medicine, Chongqing University, Chongqing 400014, China.
Feiyi Jiang3Chongqing Key Laboratory of Emergency Medicine, Chongqing Emergency Medical Center, Chongqing University Central Hospital, School of Medicine, Chongqing University, Chongqing 400014, China.
Haiping Fan4Department of Clinical Laboratory, Chongqing Emergency Medical Center, Chongqing University Central Hospital, School of Medicine, Chongqing University, Chongqing 400014, China.
Jianhua Yang2Intensive Care Unit, Chongqing Emergency Medical Center, Chongqing University Central Hospital, School of Medicine,Chongqing University, Chongqing 400014, China.
Bin Liu2Intensive Care Unit, Chongqing Emergency Medical Center, Chongqing University Central Hospital, School of Medicine,Chongqing University, Chongqing 400014, China.
Yu Ma3Chongqing Key Laboratory of Emergency Medicine, Chongqing Emergency Medical Center, Chongqing University Central Hospital, School of Medicine, Chongqing University, Chongqing 400014, China.
Gangyi Yang1Department of Endocrinology, the Second Affiliated Hospital, Chongqing Medical University, Chongqing 400010, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Deep learningHyperglycemic crisisMortality

Identifiers

PMID42807361
PMCPMC13616869

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.