Evidence map›Paper›PMID 36556906›Full record

ArticleMedicina (Kaunas, Lithuania)2022

A Machine Learning-Based Risk Prediction Model for Post-Traumatic Stress Disorder during the COVID-19 Pandemic.

Yang Liu, Ya-Nan Xie, Wen-Gang Li, Xin He, Hong-Gu He, Long-Biao Chen, Qu Shen

Open access · goldAbstract read
In one paragraph

Article in Medicina (Kaunas, Lithuania), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 pooled it
1.7field-weighted citation impact, top 16% 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

3 citing papers in PubMed, 2 syntheses or guidelines pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. 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

7 authors at 2 institutions in 2 countries.

Yang LiuDepartment of Nursing, School of Medicine, Xiamen University, Xiamen 361102, China.
Ya-Nan XieDepartment of Nursing, School of Medicine, Xiamen University, Xiamen 361102, China.
Wen-Gang LiDepartment of Clinical Medicine, School of Medicine, Xiamen University, Xiamen 361102, China.
Xin HeDepartment of Computer Science, School of Informatics, Xiamen University, Xiamen 361005, China.
Hong-Gu HeAlice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore.
Long-Biao ChenDepartment of Computer Science, School of Informatics, Xiamen University, Xiamen 361005, China.
Qu ShenDepartment of Nursing, School of Medicine, Xiamen University, Xiamen 361102, China.
Xiamen University · CNNational University of Singapore · SG

Funding

Ministry of Education 21YJAZH071Social Science Foundation of Fujian Province FJ2022B061Xiamen University 202110384304, 2020Y1100Xiamen University 20720200025
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

COVID-19Stress Disorders, Post-TraumaticAdultAnxietyHumansMachine LearningPandemicsCOVID-19machine learningmental healthpost-traumaticrisk prediction modelstress disorders

Identifiers

PMID36556906
PMCPMC9785697
OpenAlexW4309721950

What Socratic 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 Socratic graph.