Evidence map›Paper›PMID 41394003›Full record

ArticleFrontiers in neurology2025

The influencing factors of postoperative sleep disorders in elderly patients undergoing hip replacement surgery under general anesthesia and the construction and validation of a nomogram prediction model.

Guo Zhou, Jun Chen, Hui Zhang

Abstract read
In one paragraph

Article in Frontiers in neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Guo ZhouDepartment of Surgical Anesthesiology, Changsha Hospital of Traditional Chinese Medicine, Changsha, Hunan Province, China.
Jun ChenDepartment of Surgical Anesthesiology, Changsha Hospital of Traditional Chinese Medicine, Changsha, Hunan Province, China.
Hui ZhangDepartment of Surgical Anesthesiology, Hunan Chest Hospital, Changsha, Hunan Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore the influencing factors of postoperative sleep disorders in elderly patients undergoing hip replacement (HR) under general anesthesia, and to construct and validate a nomogram prediction model. Methods: A total of 329 patients who underwent general anesthesia HR surgery in our hospital from December 2021 to December 2023 were retrospectively gathered and grouped into a modeling group (230 cases) and a validation group (99 cases). The modeling group was separated into a sleep disorder group and a no sleep disorder group based on postoperative sleep disorders. Results: Out of 230 patients, 69 experienced sleep disorders, with an incidence rate of 30.00%. Multivariate logistic regression found that age, anesthesia time, surgery time, intraoperative blood loss, postoperative hypoxemia, postoperative VAS score, and postoperative CRP level were risk factors for postoperative sleep disorders in elderly HR patients undergoing general anesthesia ( Conclusion: Age, anesthesia time, surgery time, intraoperative blood loss, postoperative hypoxemia, postoperative VAS score, and postoperative CRP level are the influencing factors of postoperative sleep disorders in elderly HR patients undergoing general anesthesia. The nomogram model constructed based on this has good discrimination and consistency, and can predict the postoperative sleep disorders of patients.

Indexed as

column chart nomogramgeneral anesthesiahip replacement surgeryinfluencing factorssleep disorders

Identifiers

PMID41394003
PMCPMC12695525

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.