Evidence map›Paper›PMID 31995622›Full record

ArticlePloS one2020

Factors associated with death in bedridden patients in China: A longitudinal study.

Jing Cao, Tiantian Wang, Zhen Li, Ge Liu, Ying Liu, Chen Zhu, Jing Jiao, Jiaqian Li, Fangfang Li, Hongpeng Liu and 8 more

Registry-linked trialOpen access · goldAbstract readMulticenter Study
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07281638 (Bedside Bike Early Mobilization Program for Inpatients), which is not on this map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.6field-weighted citation impact, top 5% 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.

NCT07281638 nawithdrawnnot on this mapstarted 2026, after this paper: background citation

Bedside Bike Early Mobilization Program for Inpatients

TypeinterventionalSponsorIndiana UniversityRan2026 to 2026Enrolled0ConditionsImmobility Syndrome, Deep Venous Thrombosis, Delirium, Hospital Acquired ConditionArmsBedside Bike
3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
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  6. Review
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  11. Physical Rehabilitation Programs for Bedridden Patients with Prolonged Immobility: A Scoping Review.International journal of environmental research and public health · 2022
    Article
  12. Article
  13. Review
  14. Article
  15. Frequency of injuries associated with syncope in the prevention of syncope trials.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2020
    Article
  16. Article
  17. Triaging Total Hip Arthroplasty During the COVID-19 Pandemic.Current reviews in musculoskeletal medicine · 2020
    Review
  18. Review
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

18 authors at 4 institutions in 1 country.

Jing CaoDepartment of Nursing, Chinese Academy of Medical Sciences, Peking Union Medical College, Peking Union Medical College Hospital, Beijing, China.
Tiantian WangDepartment of Nursing, Chinese Academy of Medical Sciences, Peking Union Medical College, Peking Union Medical College Hospital, Beijing, China.ORCID 0000-0002-0872-5095
Zhen LiDepartment of Nursing, Chinese Academy of Medical Sciences, Peking Union Medical College, Peking Union Medical College Hospital, Beijing, China.
Ge LiuDepartment of Nursing, Chinese Academy of Medical Sciences, Peking Union Medical College, Peking Union Medical College Hospital, Beijing, China.
Ying LiuDepartment of Nursing, Chinese Academy of Medical Sciences, Peking Union Medical College, Peking Union Medical College Hospital, Beijing, China.
Chen ZhuDepartment of Nursing, Chinese Academy of Medical Sciences, Peking Union Medical College, Peking Union Medical College Hospital, Beijing, China.
Jing JiaoDepartment of Nursing, Chinese Academy of Medical Sciences, Peking Union Medical College, Peking Union Medical College Hospital, Beijing, China.
Jiaqian LiDepartment of Nursing, Chinese Academy of Medical Sciences, Peking Union Medical College, Peking Union Medical College Hospital, Beijing, China.
Fangfang LiDepartment of Nursing, Chinese Academy of Medical Sciences, Peking Union Medical College, Peking Union Medical College Hospital, Beijing, China.ORCID 0000-0001-6592-2442
Hongpeng LiuDepartment of Nursing, Chinese Academy of Medical Sciences, Peking Union Medical College, Peking Union Medical College Hospital, Beijing, China.
Huaping LiuSchool of Nursing, Peking Union Medical College, Beijing, China.
Baoyun SongDepartment of Nursing, Henan Provincial People's Hospital, Zhengzhou, China.
Jingfen JinDepartment of Nursing, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Yilan LiuDepartment of Nursing, Wuhan Union Hospital, Wuhan, China.
Xianxiu WenDepartment of Nursing, Sichuan Provincial People's Hospital, Chengdu, China.
Shouzhen ChengDepartment of Nursing, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Xia WanInstitute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing, China.
Xinjuan WuDepartment of Nursing, Chinese Academy of Medical Sciences, Peking Union Medical College, Peking Union Medical College Hospital, Beijing, China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNHenan Provincial People's Hospital · CNSecond Affiliated Hospital of Zhejiang University · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImmobility is common and associated with adverse outcomes in hospitalized patients, especially older people. However, the factors contributing to mortality in bedridden patients are not well known. This study aimed to estimate short-term mortality and analyze risk factors that affect the prognosis of bedridden patients.

methodsThis was a multicenter study in China involving 23,738 patients admitted to 25 hospitals between November 2015 and June 2016. All-cause mortality was recorded for 90 days after enrollment regardless of whether death occurred before or after discharge. Socio-demographic and clinical information was obtained from an electronic database. Univariate and multivariate Cox regression analysis was used to identify factors associated with mortality.

resultsIn total, 23,738 hospitalized bedridden patients, there were 1,114 (4.7%) observed deaths. The overall mortality rate was therefore 4.7%. Of these, 318 (1.4%) died while hospitalized and 796 (3.4%) after discharge. The univariate Cox regression analysis showed that variables significantly associated with 90-day mortality included total time spent bedridden, urinary tract infection and pulmonary infection (p<0.05). The multivariate Cox regression analysis showed that the independent risk factors for death were age (adjusted hazard ratio [aHR] 1.006, 95% CI 1.000-1.011), and pulmonary infection (aHR 1.439, 95% CI 1.266-1.635). The hazard ratios for mortality were reduced with urinary tract infection and more time spent bedridden.

conclusionsThe mortality after discharge was significantly higher than mortality in hospital. The factors affecting short-term mortality in bedridden patients included age, time spent bedridden, urinary tract infection and pulmonary infection. This suggests these factors may be potential predictors of mortality in bedridden patients. It is essential for medical staff to improve health education of patients and family members, pay more attention to follow up after discharge and meet care needs at home.

Indexed as

Cause of DeathAdultAgedAged, 80 and overBedridden PersonsChinaFemaleHumansLongitudinal StudiesMiddle AgedPrognosisRegression AnalysisRisk AssessmentRisk FactorsTertiary Care CentersYoung Adult

Identifiers

PMID31995622
PMCPMC6988962
OpenAlexW3004112050

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.