Evidence map›Paper›PMID 42713415›Full record

ArticleJournal of orthopaedic case reports2026

Pre-operative Computed Tomography-based Sarcopenia Assessment as a Predictor of Mortality and Functional Outcome following Geriatric Hip Fracture Surgery.

Mohammed Saleh AlSaifi, Rajani Thakur, Siroya Meet Manishbhai, Ketan Rupala, Mohanakrishnan B, Ashirwad Pasumarthy

Abstract read
In one paragraph

Article in Journal of orthopaedic case reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Mohammed Saleh AlSaifiDepartment of Orthopaedics, 21 September University for Medicine and Applied Sciences, Sanaa, Yemen.
Rajani ThakurDepartment of Radiodiagnosis, Nizam's Institute of Medical Sciences, Hyderabad, Telangana, India.
Siroya Meet ManishbhaiDepartment of Orthopedics, Pandit Dindayal Upadhyay Medical College, Rajkot, Gujarat, India.
Ketan RupalaDepartment of Orthopedics, SGT Medical College, Gurugram, Haryana, India.
Mohanakrishnan BDepartment of Naturopathy, Swami Vivekanand Subharti University, Meerut, Uttar Pradesh, India.
Ashirwad PasumarthyDepartment of Radiodiagnosis, AIG Hospitals, Hyderabad, Telangana, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Hip fractures among older adults are known to be highly morbid, lethal, and with low chances of functional improvement. Sarcopenia has been identified as an important predictor of outcomes due to its characteristics such as muscle mass depletion and quality loss. Computed tomography (CT)-based sarcopenia is currently seen as an objective and practical way to predict sarcopenia in the acute care setting. Materials and Methods: The research employed a prospective study design in which 50 subjects above the age of 60 years with hip fractures undergoing hip surgery were studied. Patients were grouped based on their sarcopenia status as defined by muscle parameters from CT such as psoas muscle area and attenuation. Patient demographics, radiological measurements, and outcome measures such as post-operative complications, length of hospitalization, mortality, and Harris Hip Scores were obtained. Results: Sarcopenic patients had significantly lower muscle mass (3.8 ± 0.9 cm2 vs. 6.5 ± 1.2 cm2) and attenuation (28 ± 5 Hounsfield Units [HU] vs. 42 ± 6 HU; P < 0.001). There were more post-operative complications (58.3% vs. 23.1%) and prolonged hospital stays (12.5 ± 3.2 days vs. 8.4 ± 2.1 days). There were more deaths in the sarcopenic group (33.3% vs. 3.8%). The functional scores were worse, as 50% of sarcopenic patients had poor Harris Hip Scores versus 15.4% of non-sarcopenic patients. Sarcopenic patients had significantly lower psoas muscle area (3.8 ± 0.9 cm2 vs. 6.5 ± 1.2 cm2; P < 0.001) and muscle attenuation (28 ± 5 HU vs. 42 ± 6 HU; P < 0.001). Conclusion: Sarcopenia identified by pre-operative CT is an excellent predictor of mortality, post-operative complications, and poor function in elderly patients with hip fractures. Regular screening for sarcopenia can assist in risk stratification and appropriate perioperative management.

Indexed as

Computed tomographyfunctional outcomehip fracturemortalitysarcopenia

Identifiers

PMID42713415
PMCPMC13552175

What OpenQuestion holds

Textmetadata
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.