Prediction Model for Risk of Death in Elderly Critically Ill Patients with Kidney Failure.

Jinping Zeng, Feng Ye, Jiaolan Du, Min Zhang, Jun Yang, Yinyin Wu

Abstract read

In one paragraph

Article in Medicina (Kaunas, Lithuania), 2025. 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

6 authors.

Jinping ZengDepartment of Epidemiology and Health Statistics, School of Public Health, Hangzhou Normal University, Hangzhou 311121, China.ORCID 0000-0002-0143-9301

Feng YeDepartment of Epidemiology and Health Statistics, School of Public Health, Hangzhou Normal University, Hangzhou 311121, China.

Jiaolan DuDepartment of Epidemiology and Health Statistics, School of Public Health, Hangzhou Normal University, Hangzhou 311121, China.

Min ZhangDepartment of Epidemiology and Health Statistics, School of Public Health, Hangzhou Normal University, Hangzhou 311121, China.

Jun YangDepartment of Nutrition and Toxicology, School of Public Health, Hangzhou Normal University, Hangzhou 311121, China.ORCID 0000-0002-9401-3528

Yinyin WuDepartment of Epidemiology and Health Statistics, School of Public Health, Hangzhou Normal University, Hangzhou 311121, China.

Funding

the Huadong Medicine Joint Funds of the Zhejiang Provincial Natural Science Foundation No. LHDMZ24H040001the National Natural Science Foundation of China No. 32270186

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Critical IllnessRenal InsufficiencyAgedAged, 80 and overFemaleHumansIntensive Care UnitsLogistic ModelsMachine LearningMalePrognosisRisk AssessmentRisk FactorsROC CurveSupport Vector Machineintensive care unitkidney failuremachine learningmortality riskthe elderly

Identifiers

PMID40282936

DOI10.3390/medicina61040640

PMCPMC12028376

What OpenQuestion holds

Textmetadata

LicenceCC BY

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.