Evidence map›Paper›PMID 35145366›Full record

ArticleEXCLI journal2022

Risk factors, time to onset and recurrence of delirium in a mixed medical-surgical ICU population: A secondary analysis using Cox and CHAID decision tree modeling.

Farshid Rahimibashar, Andrew C Miller, Mahmood Salesi, Motahareh Bagheri, Amir Vahedian-Azimi, Sara Ashtari, Keivan Gohari Moghadam, Amirhossein Sahebkar

Abstract read
In one paragraph

Article in EXCLI journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Classifiers of anterior cruciate ligament status in female and male adolescents using return-to-activity criteria.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2025
    Article
  5. Article
  6. Article
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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

8 authors.

Farshid RahimibasharDepartment of Anesthesiology and Critical Care, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran.
Andrew C MillerDepartment of Emergency Medicine, Alton Memorial Hospital, Alton, IL, USA.
Mahmood SalesiChemical Injuries Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.
Motahareh BagheriStudent Research Committee, Hamadan University of Medical Sciences, Hamadan, Iran.
Amir Vahedian-AzimiTrauma Research Center, Nursing Faculty, Baqiyatallah University of Medical Sciences, Tehran, Iran.
Sara AshtariGastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Keivan Gohari MoghadamDepartment of Internal Medicine, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Amirhossein SahebkarBiotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad 9177948564, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A retrospective secondary analysis of 4,200 patients was collected from two academic medical centers. Delirium was assessed using the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) in all patients. Univariate and multivariate Cox models, logistic regression analysis, and Chi-square Automatic Interaction Detector (CHAID) decision tree modeling were used to explore delirium risk factors. Increased delirium risk was associated with exposed only to artificial light (AL) hazard ratio (HR) 1.84 (95 % CI: 1.66-2.044,

Indexed as

critical caredeliriumIntensive Care UnitsIranrisk factors

Identifiers

PMID35145366
PMCPMC8822304

What OpenQuestion holds

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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.