Evidence map›Paper›PMID 34158873›Full record

ArticleDisease markers2021

A Nomogram Prediction of Length of Hospital Stay in Patients with COVID-19 Pneumonia: A Retrospective Cohort Study.

Kang Li, Chi Zhang, Ling Qin, Chaoran Zang, Ang Li, Jianping Sun, Yan Zhao, Yingmei Feng, Yonghong Zhang

Abstract read
In one paragraph

Article in Disease markers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. Discharge to post-acute care and other predictors of prolonged length of stay during the initial COVID-19 surge: a single site analysis.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2023
    Observational
  6. Article
  7. Article
  8. Article
  9. 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

9 authors.

Kang LiBeijing You'An Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0000-0003-0843-0382
Chi ZhangBeijing You'An Hospital, Capital Medical University, Beijing, China.
Ling QinBeijing You'An Hospital, Capital Medical University, Beijing, China.
Chaoran ZangBeijing You'An Hospital, Capital Medical University, Beijing, China.
Ang LiBeijing You'An Hospital, Capital Medical University, Beijing, China.
Jianping SunBeijing You'An Hospital, Capital Medical University, Beijing, China.
Yan ZhaoBeijing You'An Hospital, Capital Medical University, Beijing, China.
Yingmei FengBeijing You'An Hospital, Capital Medical University, Beijing, China.
Yonghong ZhangBeijing You'An Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0000-0002-5963-0256

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assessing the length of hospital stay (LOS) in patients with coronavirus disease 2019 (COVID-19) pneumonia is helpful in optimizing the use efficiency of hospital beds and medical resources and relieving medical resource shortages. This retrospective cohort study of 97 patients was conducted at Beijing You'An Hospital between January 21, 2020, and March 21, 2020. A multivariate Cox proportional hazards regression based on the smallest Akaike information criterion value was used to select demographic and clinical variables to construct a nomogram. Discrimination, area under the receiver operating characteristic curve (AUC), calibration, and Kaplan-Meier curves with the log-rank test were used to assess the nomogram model. The median LOS was 13 days (interquartile range [IQR]: 10-18). Age, alanine aminotransferase, pneumonia, platelet count, and PF ratio (PaO

Indexed as

Length of StayNomogramsSARS-CoV-2AdultAgedCOVID-19FemaleHumansMaleMiddle AgedProportional Hazards ModelsRetrospective Studies

Identifiers

PMID34158873
PMCPMC8187077

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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.