Evidence map›Paper›PMID 38376027›Full record

Observational studyBrain and behavior2024

Thoracic delirium index for predicting postoperative delirium in elderly patients following thoracic surgery: A retrospective case-control study.

Jianli Li, Jing Liu, Mingming Zhang, Jing Wang, Meinv Liu, Dongdong Yu, Junfang Rong

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Brain and behavior, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.7field-weighted citation impact, top 19% 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, 4 citations in OpenAlex.

  1. Observational
  2. Article
  3. Observational
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 1 country.

Jianli LiDepartment of Anesthesiology, Hebei General Hospital, Shijiazhuang City, China.ORCID 0000-0003-2043-9689
Jing LiuDepartment of Anesthesiology, Hebei General Hospital, Shijiazhuang City, China.
Mingming ZhangDepartment of Anesthesiology, Hebei General Hospital, Shijiazhuang City, China.
Jing WangDepartment of Anesthesiology, Hebei General Hospital, Shijiazhuang City, China.
Meinv LiuDepartment of Anesthesiology, Hebei General Hospital, Shijiazhuang City, China.
Dongdong YuDepartment of Anesthesiology, Hebei General Hospital, Shijiazhuang City, China.
Junfang RongDepartment of Anesthesiology, Hebei General Hospital, Shijiazhuang City, China.
Hebei General Hospital · CNHebei North University · CN

Funding

Key Research and Development Program of Hebei Province 19277714D
6 · The paper itself

Abstract

backgroundPostoperative delirium (POD) is an acute neurological complication in the elderly undergoing thoracic surgery and can result in serious adverse consequences.

aimsThis study aimed to identify the related risk factors for POD following thoracic surgery, primarily focusing on preoperative serum biomarkers, and further to establish a novel delirium index to better predict POD.

methodsA total of 279 patients aged ≥60 years who underwent elective thoracic surgery from August 2021 to August 2022 were enrolled in this observational study. The platelet-to-white blood cell ratio (PWR) was calculated as number the of platelets divided by the number of white blood cells. POD was defined by the confusion assessment method twice daily during the postoperative first 3 days. Multivariate regression analysis was performed to identify all potential variables for POD. Moreover, a novel thoracic delirium index (TDI) was developed based on the related risk factors. The accuracy of TDI and its component factors in predicting POD was determined by the curve of receiver operating characteristic (ROC).

resultsIn total, 25 of 279 patients developed POD (8.96%). Age, PWR, and average pain scores within the first 3 days after surgery were regarded as the independent risk factors for POD. Moreover, the ROC analysis showed the TDI, including age, PWR, and average pain scores within the first 3 days after surgery, can more accurately predict POD with the largest area under the curve of 0.790 and the optimal cutoff value of 9.072, respectively.

conclusionThe TDI can scientifically and effectively predict POD to provide optimal clinical guidance for older patients after thoracic surgery.

Indexed as

DeliriumEmergence DeliriumThoracic SurgeryAgedCase-Control StudiesHumansMiddle AgedPainPostoperative ComplicationsRetrospective StudiesRisk Factorsdeliriumelderly patientspostoperative periodrisk factorsthoracic surgery

Identifiers

PMID38376027
PMCPMC10772846
OpenAlexW4390668183

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.