Evidence map›Paper›PMID 41311675›Full record

ArticleClinical interventions in aging2025

Long-Term Bedridden Status as a Predictor of in-Hospital Mortality in Older Adults with Community-Acquired Pneumonia: A Retrospective Cohort Study.

Zheng Wang, Dong Wu

Abstract read
In one paragraph

Article in Clinical interventions in aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Zheng WangDepartment of Geriatrics, Peking University Third Hospital, Beijing, People's Republic of China.ORCID 0000-0001-9230-333X
Dong WuDepartment of Geriatrics, Peking University Third Hospital, Beijing, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Long-term bedridden elderly individuals face a high risk of community-acquired pneumonia (CAP) amid China's aging population, yet the specific mortality impact remains insufficiently studied. Objective: To compare the clinical characteristics and in-hospital mortality between long-term bedridden and ambulatory elderly patients with CAP, and to identify risk factors for mortality. Methods: This retrospective study included 453 patients aged ≥75 years hospitalized with CAP from March 2016 to March 2019, divided into a bedridden group (n = 162) and a non-bedridden group (n = 291). Data on demographics, comorbidities, frailty (modified Frailty Index-5, mFI-5), functional status (Barthel Index), and laboratory parameters (eg, hs-CRP) were collected. Logistic regression analysis was used to identify predictors of in-hospital mortality. Results: The bedridden group had a significantly higher mortality rate (27.16% vs 2.06%, P < 0.001) and elevated hs-CRP levels (40.2 ± 44.0 mg/L vs 19.9 ± 20.3 mg/L). Multivariate analysis identified bedridden status (OR = 11.99, 95% CI: 4.31-33.40), respiratory failure (OR = 6.80, 95% CI: 3.03-15.28), and renal dysfunction (elevated serum creatinine; OR = 1.01, 95% CI: 1.00-1.02) as independent risk factors for mortality. Conclusion: Long-term bedridden status is an independent predictor of in-hospital mortality in elderly CAP patients with inflammatory response potentially playing a critical role.

Indexed as

Bedridden PersonsCommunity-Acquired InfectionsHospital MortalityPneumoniaAgedAged, 80 and overChinaCommunity-Acquired PneumoniaC-Reactive ProteinFemaleHumansMaleRetrospective StudiesRisk FactorsC-Reactive Proteinbedridden statuscommunity-acquired pneumoniafrailtyhs-CRPinflammationmortality

Identifiers

PMID41311675
PMCPMC12649807

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.