Evidence map›Paper›PMID 39753664›Full record

ArticleScientific reports2025

Latent profiles and determinants of postoperative sleep quality in elective surgery patients.

Binxu Yang, Jingjing Li, Dan Feng, Jing Gong, Yifei Yang, Xusihong Cai, Shuwen Huang, Lorna Kwai Ping Suen, Puzhong Gao, Qingde Wa and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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

7 citing papers in PubMed.

  1. Review
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  4. Observational
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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

11 authors.

Binxu Yang *The Second Affiliated Hospital of ZunYi Medical University, Zunyi, Guizhou, China.
Jingjing Li *The Second Affiliated Hospital of ZunYi Medical University, Zunyi, Guizhou, China.
Dan FengThe Second Affiliated Hospital of ZunYi Medical University, Zunyi, Guizhou, China.
Jing GongThe Second Affiliated Hospital of ZunYi Medical University, Zunyi, Guizhou, China.
Yifei YangThe Second Affiliated Hospital of ZunYi Medical University, Zunyi, Guizhou, China.
Xusihong CaiThe Second Affiliated Hospital of ZunYi Medical University, Zunyi, Guizhou, China.
Shuwen HuangThe Second Affiliated Hospital of ZunYi Medical University, Zunyi, Guizhou, China.
Lorna Kwai Ping SuenSchool of Nursing, Tung Wah College, Homantin, Hong Kong Special Administrative Region, Hong Kong, China.
Puzhong GaoThe Second Affiliated Hospital of ZunYi Medical University, Zunyi, Guizhou, China.
Qingde WaThe Second Affiliated Hospital of ZunYi Medical University, Zunyi, Guizhou, China. wqd887zsy@126.com.
Jing ZhouThe Second Affiliated Hospital of ZunYi Medical University, Zunyi, Guizhou, China. 15085116669@163.com.

Funding

he Guizhou Provincial Science and Technology Program ZK[2023] General 527the Guizhou Provincial Science and Technology Program - Outstanding Young Scientific and Technological Talents ZK[2021] Platform Talent 5613the Guizhou Provincial Science and Technology Program - Science and Technology Fund ZK[2021] Key 007
6 · The paper itself

Abstract

It is crucial to determine the potential subgroups of sleep disturbances in patients undergoing elective surgery based on the importance of symptom clusters and individual characteristics in order to develop targeted symptom management plans. This study explored the potential categories of postoperative sleep disturbances in patients undergoing elective surgery through latent profile analysis, and explored the influencing factors of each category. A total of 400 eligible elective surgery patients were included in the analysis, and three potential subgroups were identified: mild sleep disturbance group (c1 = 140,35.0%), moderate sleep sleep disturbance group (c2 = 177,44.2%), and severe sleep disturbance group (c3 = 83,20.8%). It was found that the higher the BMI, the greater the probability of patients belonging to the moderate sleep disturbance group (OR = 1.114, P = 0.002) and the severe sleep disturbance group (OR = 1.258, P < 0.001),the longer the duration of anesthesia the greater the likelihood of patients belonging to the severe sleep disturbance group (OR = 1.004,P = 0.011), the greater the pain the greater the probability of patients belonging to the moderate sleep disturbance group (OR = 1.590,P < 0.001) and severe sleep disturbance group (OR = 1.785,P < 0.001), and the higher the anxiety level the greater the probability that patients were in the moderate sleep disturbance group (OR = 1.135,P = 0.007) and severe sleep disturbance group (OR = 1.261,P < 0.001).

Indexed as

Elective Surgical ProceduresSleep QualitySleep Wake DisordersAdultAgedFemaleHumansMaleMiddle AgedPostoperative ComplicationsPostoperative PeriodElective surgeryLatent profile analysisPostoperative sleep disturbance

Identifiers

PMID39753664
PMCPMC11698858

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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.