Evidence map›Paper›PMID 39574198›Full record

Trial reportJournal of orthopaedic surgery and research2024

Effect of the orthogeriatric co-management on older hip fracture patients with multimorbidity: a post-hoc exploratory subgroup analysis of a non-randomised controlled trial.

Tingzhuo Liu, Xinyi Zhang, Jing Zhang, Pengpeng Ye, Minghui Yang, Maoyi Tian

Registry-linked trialAbstract readClinical TrialMulticenter Study
In one paragraph

Trial report in Journal of orthopaedic surgery and research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03184896 (Multicenter Prospective Observational Study in Hip Fracture Among Older Adults), which is not on this map. Cited by 33 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 4 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.

NCT03184896 unknown statusnot on this map

Multicenter Prospective Observational Study in Hip Fracture Among Older Adults

TypeobservationalSponsorThe George Institute for Global Health, ChinaRan2018 to 2021Enrolled2,500ConditionsHip FracturesArmsHip Fracture Surgery
3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Trial
  6. Geriatric Models of Surgical Care: A Scoping Review.Journal of advanced nursing · 2026
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  16. Major Upper-Extremity Fractures in Older Adults: Predictors of 5-Year Mortality.Geriatric orthopaedic surgery & rehabilitation · 2026
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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

6 authors.

Tingzhuo Liu *School of Public Health, Harbin Medical University, 157 Baojian Road,Nangang District, Harbin, 150081, China.
Xinyi Zhang *School of Public Health, Harbin Medical University, 157 Baojian Road,Nangang District, Harbin, 150081, China.
Jing ZhangSchool of Public Health, Harbin Medical University, 157 Baojian Road,Nangang District, Harbin, 150081, China.
Pengpeng YeNational Centre for Non-Communicable Disease Control and Prevention, Chinese Centre for Disease Control and Prevention, Beijing, China.
Minghui YangDepartment of Orthopaedics and Traumatology, Beijing Jishuitan Hospital, Capital Medical University, 31 Xinjiekou E Street, Xicheng District, Beijing, China. doctyang0125@126.com.
Maoyi TianSchool of Public Health, Harbin Medical University, 157 Baojian Road,Nangang District, Harbin, 150081, China. maoyi.tian@hrbmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHip fracture and multimorbidity represent significant health challenges for older people. Despite evidence that orthogeriatric co-management improves hip fracture management and patients' health outcomes, there is little evidence to understand its effectiveness for patients with multimorbidity. The study aimed to assess the effect of the orthogeriatric co-management care model on older hip fracture patients with multimorbidity.

methodsThis study was a post-hoc analysis of a recently completed trial. Patients were admitted to three urban hospitals and three suburban hospitals in Beijing, with diagnosed hip fracture. One urban hospital (intervention group) implemented the orthogeriatric co-management, while other hospitals (control group) continued orthopedics-led usual care. All enrolled patients were followed-up for three times within one year. Study outcome was patients' one-year cumulative adverse events, including re-operation, complication and death. Logistic regression models were used to compare the differences between the intervention and control groups, with adjustment for all potential confounders.

resultA total of 2,071 patients with hip fracture (1,110 intervention, 961 control) were included. More than half of the patients had multimorbidity. Hypertension and diabetes were the leading disease cluster, while hypertension was the most prevalent disease condition across all observed disease clusters. Older hip fracture patients with multimorbidity in the intervention group saw a significantly reduced risk of adverse events compared to the control group (Odds Ratio = 0.59, 95% Confidence Interval: 0.48 to 0.73).

conclusionMultimorbidity is common among older hip fracture patients. Orthogeriatric co-management provides better outcomes for patients with multimorbidity, in reducing the risk of adverse events after a hip fracture. CLINICAL TRIAL REGISTRATION INFORMATION: The study was a post-hoc analysis using data from a non-randomized controlled trial. Registry name: Services Mapping Among Older Adults With Hip Fracture (HiFit) ClinicalTrials.gov ID: NCT03184896 URL: https://clinicaltrials.gov/study/NCT03184896.

Indexed as

Hip FracturesMultimorbidityAgedAged, 80 and overFemaleFollow-Up StudiesGeriatricsHumansMaleNon-Randomized Controlled Trials as TopicOrthopedicsChinaHip fractureMultimorbidityOlder peopleOrthogeriatric care

Identifiers

PMID39574198
PMCPMC11580192

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.