Evidence map›Paper›PMID 34211683›Full record

ArticleJournal of healthcare engineering2021

Development and Validation of a Postoperative Delirium Prediction Model for Elderly Orthopedic Patients in the Intensive Care Unit.

Gang Wang, Lei Zhang, Ying Qi, Guangjian Chen, Juan Zhou, Huihui Zhu, Yingxin Hao

RetractedAbstract readRetracted Publication
In one paragraph

Article in Journal of healthcare engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 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

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

12 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Guideline
  3. Pooled it
  4. Article
  5. Article
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  8. Article
  9. Observational
  10. Observational
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Gang WangDepartment of Critical Care Medicine, Tongji Hospital, Tongji University School of Medicine, Tongji University, Shanghai 200065, China.ORCID 0000-0002-9369-0738
Lei ZhangDepartment of Critical Care Medicine, Tongji Hospital, Tongji University School of Medicine, Tongji University, Shanghai 200065, China.
Ying QiDepartment of Economic Management, Yingkou Institute of Technology, Yingkou 115014, Liaoning, China.ORCID 0000-0002-4953-5650
Guangjian ChenDepartment of Critical Care Medicine, Tongji Hospital, Tongji University School of Medicine, Tongji University, Shanghai 200065, China.
Juan ZhouDepartment of Critical Care Medicine, Tongji Hospital, Tongji University School of Medicine, Tongji University, Shanghai 200065, China.
Huihui ZhuDepartment of Critical Care Medicine, Tongji Hospital, Tongji University School of Medicine, Tongji University, Shanghai 200065, China.
Yingxin HaoDepartment of Critical Care Medicine, Tongji Hospital, Tongji University School of Medicine, Tongji University, Shanghai 200065, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We developed a prediction model for delirium in elderly patients in the intensive care unit who underwent orthopedic surgery and then temporally validated its predictive power in the same hospital. In the development stage, we designed a prospective cohort study, and 319 consecutive patients aged over 65 years from January 2018 to December 2019 were screened. Demographic characteristics and clinical variables were evaluated, and a final prediction model was developed using the multivariate logistic regression analysis. In the validation stage, 108 patients were included for temporal validation between January 2020 and June 2020. The effectiveness of the model was evaluated through discrimination and calibration. As a result, the prediction model contains seven risk factors (age, anesthesia method, score of mini-mental state examination, hypoxia, major hemorrhage, level of interleukin-6, and company of family members), which had an area under the receiver operating characteristics curve of 0.82 (95% confidence interval 0.76-0.88) and was stable after bootstrapping. The temporal validation resulted in an area under the curve of 0.80 (95% confidence interval 0.67-0.93). Our prediction model had excellent discrimination power in predicting postoperative delirium in elderly patients and could assist intensive care physicians with early prevention.

Indexed as

DeliriumAgedCritical CareHumansIntensive Care UnitsProspective StudiesROC Curve

Identifiers

PMID34211683
PMCPMC8205566

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.