Evidence map›Paper›PMID 40155880›Full record

ArticleBMC surgery2025

Risk factors of postoperative complications and in-hospital mortality after hip fracture among patients older than 80 years old: a retrospective study.

Huawen Zhang, Lulu Ma, Xuerong Yu

Abstract read
In one paragraph

Article in BMC surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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

3 authors.

Huawen ZhangDepartment of anesthesiology, Peking Union Medical College Hospital, Beijing, 100730, China.
Lulu MaDepartment of anesthesiology, Peking Union Medical College Hospital, Beijing, 100730, China. malulu@pumch.cn.
Xuerong YuDepartment of anesthesiology, Peking Union Medical College Hospital, Beijing, 100730, China.

Funding

National High Level Hospital Clinical Research Funding 2022-PUMCH-B-006
6 · The paper itself

Abstract

inductionThe mortality and morbidity in hip fracture is a big healthcare burden. How to identify risk patients preoperatively is important. The aim of study was to evaluate the risk factors of postoperative complications and mortality in patients older than 80 years old after hip fracture surgery.

methodsPatients older than 80 years old with the diagnosis of hip fracture who had surgical treatment from February 2013 to June 2021 at a single center in China were included for analysis. The primary outcome were postoperative complications and in-hospital mortality. Binary logistic regression was used to confirm the relationship between preoperative factors and postoperative complications/mortality.

results498 patients were included for analysis. 176 patients developed 265 episodes of complications and the incidence of postoperative complication was 35.3%. Postoperative pulmonary infection was the most common complication, followed by cardiovascular complications and postoperative delirium. And there were 10 postoperative in-hospital deaths (2.0%). Preoperative Charlson comorbidity index(CCI) was associated with postoperative complications (OR = 1.243, 95%CI 1.020-1.516, P = 0.031) and mortality (OR = 2.303, 95%CI 1.351-3.925, P = 0.002). However, American society of Anesthesiologists (ASA) score was not an independent risk factor for postoperative complication and mortality.

conclusionCCI was the risk factor of poor postoperative outcome for patients older than 80 years old after hip fracture surgery. And CCI can be used as the potential tool of risk stratification for this group of patients.

trial registrationThis study had been registered in www.chictr.org.cn and the registration ID was ChiCTR2400085291 on June 4th 2024.

Indexed as

Hip FracturesHospital MortalityPostoperative ComplicationsAged, 80 and overChinaFemaleHumansMaleRetrospective StudiesRisk FactorsAmerican society of Anesthesiologists scoreCharlson comorbidity indexHip fracturePostoperative complication

Identifiers

PMID40155880
PMCPMC11951824

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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.