Evidence map›Paper›PMID 35626224›Full record

ArticleDiagnostics (Basel, Switzerland)2022

Establishment of ICU Mortality Risk Prediction Models with Machine Learning Algorithm Using MIMIC-IV Database.

Ke Pang, Liang Li, Wen Ouyang, Xing Liu, Yongzhong Tang

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
5.7field-weighted citation impact, top 4% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
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  16. Machine Learning for Benchmarking Critical Care Outcomes.Healthcare informatics research · 2023
    Article
  17. Article
  18. Article
  19. Interpretable Machine Learning Approach for Predicting 30-Day Mortality of Critical Ill Patients with Pulmonary Embolism and Heart Failure: A Retrospective Study.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    Article
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

5 authors at 1 institution in 1 country.

Ke PangDepartment of Anesthesiology, Third Xiangya Hospital, Central South University, Changsha 410013, China.ORCID 0000-0002-7498-5979
Liang LiDepartment of Gastrointestinal Surgery, Third Xiangya Hospital, Central South University, Changsha 410013, China.
Wen OuyangDepartment of Anesthesiology, Third Xiangya Hospital, Central South University, Changsha 410013, China.
Xing LiuDepartment of Anesthesiology, Third Xiangya Hospital, Central South University, Changsha 410013, China.
Yongzhong TangDepartment of Anesthesiology, Third Xiangya Hospital, Central South University, Changsha 410013, China.
Central South University · CN

Funding

Project of Health and Health Commission of Hunan Province 20201802the National Key R&D Programme of China 2018YFC2001800
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

machine learningpostoperative deathprediction model

Identifiers

PMID35626224
PMCPMC9139972
OpenAlexW4224316420

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.