Evidence map›Paper›PMID 39014493›Full record

ArticlePerioperative medicine (London, England)2024

Establishment and validation of a risk prediction model for delayed neurocognitive recovery associated with cerebral oxygen saturation monitoring.

Ning Luo, Xiaowei Gao, Chunyan Ye, Lu Wang, Lu Tang, Yongqiu Xie, E Wang

Abstract read
In one paragraph

Article in Perioperative medicine (London, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Ning LuoDepartment of Anesthesiology, Xiangya Hospital Central South University, Changsha, 410008, China.
Xiaowei GaoDepartment of Anesthesiology, Xiangya Hospital Central South University, Changsha, 410008, China.
Chunyan YeDepartment of Anesthesiology, Xiangya Hospital Central South University, Changsha, 410008, China.
Lu WangDepartment of Anesthesiology, Xiangya Hospital Central South University, Changsha, 410008, China.
Lu TangDepartment of Anesthesiology, Xiangya Hospital Central South University, Changsha, 410008, China.
Yongqiu XieDepartment of Anesthesiology, Xiangya Hospital Central South University, Changsha, 410008, China. yongqiuxie@163.com.
E WangDepartment of Anesthesiology, Xiangya Hospital Central South University, Changsha, 410008, China. ewang324@csu.edu.cn.ORCID http://orcid.org/0000-0001-9463-9769

Funding

National Key Research and Development Program of China 2018YFC2001900
6 · The paper itself

Abstract

backgroundDelayed neurocognitive recovery (DNR) is a common complication in patients undergoing laparoscopic surgery, and there are currently no effective therapies. It is vital to provide a reliable basis for clinical prediction. This study tried to analyse the risk factors for DNR in patients undergoing laparoscopic colorectal surgery and to establish a risk prediction model.

methodsA retrospective analysis of the clinical data and DNR status of patients undergoing laparoscopic colorectal surgery at Xiangya Hospital of Central South University from March 2018 to July 2020 was conducted. Logistic regression was performed to analyse the related risk factors for DNR post-operatively, and the predictive model of DNR post-operatively was constructed and validated internally. Patients who underwent laparoscopic colorectal surgery between January and July 2021 were also selected for external validation of the predictive model, to ultimately investigate the risk factors for DNR in patients undergoing laparoscopic colorectal surgery.

resultsThe incidence of DNR in patients undergoing laparoscopic colorectal surgery was 15.2% (31/204). The maximum variability of cerebral oxygen, age, education, and pre-existing diabetes was related to the incidence of DNR (p < 0.05). The risk prediction model of DNR after laparoscopic colorectal surgery was established. The internal and external validation showed that the discrimination was good (the AUCs were 0.751 and 0.694, respectively).

conclusionsThe risk prediction model of DNR related to cerebral oxygen saturation monitoring shows good predictive performance and clinical value, providing a basis for postoperative DNR prevention.

Indexed as

Cerebral oxygen saturationDelayed neurocognitive recoveryLaparoscopic surgeryPostoperativePredictive model

Identifiers

PMID39014493
PMCPMC11253552

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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.