Evidence map›Paper›PMID 40275223›Full record

ArticleBMC geriatrics2025

Association between markers of inflammation and outcomes after hip fracture surgery: analysis of routinely collected electronic healthcare data.

Shivam N Kolhe, Richard Holleyman, Andrew Chaplin, Sarah Langford, Mike R Reed, Miles D Witham, Antony K Sorial

Abstract read
In one paragraph

Article in BMC geriatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 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.

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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
  3. Review
  4. C-reactive protein -albumin-lymphocyte (CALLY) index as a predictor of early mortality in elderly patients with hip fractures.Ulusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES · 2025
    Article
  5. Review
  6. Article
  7. 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

7 authors.

Shivam N KolheAGE Research Group, NIHR Newcastle Biomedical Research Centre, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne, NE4 5PL, UK.
Richard HolleymanDepartment of Trauma and Orthopaedics, Northumbria Healthcare NHS Foundation Trust, Northumbria House, Cobalt Business Park, Newcastle upon Tyne, UK.
Andrew ChaplinDepartment of Trauma and Orthopaedics, Northumbria Healthcare NHS Foundation Trust, Northumbria House, Cobalt Business Park, Newcastle upon Tyne, UK.
Sarah LangfordDepartment of Trauma and Orthopaedics, Northumbria Healthcare NHS Foundation Trust, Northumbria House, Cobalt Business Park, Newcastle upon Tyne, UK.
Mike R ReedDepartment of Trauma and Orthopaedics, Northumbria Healthcare NHS Foundation Trust, Northumbria House, Cobalt Business Park, Newcastle upon Tyne, UK.
Miles D Witham *AGE Research Group, NIHR Newcastle Biomedical Research Centre, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne, NE4 5PL, UK. Miles.Witham@newcastle.ac.uk.
Antony K Sorial *Department of Trauma and Orthopaedics, Northumbria Healthcare NHS Foundation Trust, Northumbria House, Cobalt Business Park, Newcastle upon Tyne, UK. Tony.Sorial@newcastle.ac.uk.

Funding

Orthopaedic Research UK 541
6 · The paper itself

Abstract

backgroundRisk assessment tools such as the Nottingham Hip Fracture Score (NHFS) are crucial in guiding prognostic discussions and benchmarking in hip fracture care. These scores have scope to be improved, which may help identify higher-risk patients at admission. We investigated the role of inflammatory biomarkers, which are routinely collected at admission, in predicting post-operative outcomes following hip fracture. We subsequently combined these biomarkers with the NHFS to see if we could enhance risk prediction.

methodsWe analysed data from patients admitted to a trauma unit with hip fracture between 2015 and 2020 who underwent operative management. National hip fracture database (NHFD) data, including the NHFS, were linked with admission biomarkers: albumin, C-reactive protein (CRP), neutrophil-lymphocyte ratio (NLR) and monocyte-lymphocyte ratio (MLR). Following univariate and multivariate analyses, the discrimination of the NHFS with and without each biomarker was assessed for 30-day mortality, length of stay (LOS), and failure to return home at 30 days.

resultsWe analysed 1039 patients, 719 (69.2%) were female and the mean age was 82.5 years (SD 8.1, range 60-104). In multivariate analysis, higher CRP was associated with higher 30-day mortality (odds ratio (OR) 1.23, 95%, confidence interval (CI) 1.04-1.44, p = 0.013); higher albumin was associated with lower 30-day mortality (OR 0.86, 95%CI 0.81-0.91, p < 0.001). Independent predictors of not returning home at 30 days included albumin (OR 0.94, 95% CI 0.91-0.98) and NLR (OR 1.44, 95% CI 1.14-1.81). NLR and MLR were significantly associated with prolonged LOS but not 30-day mortality. A composite variable of NHFS and albumin had better discrimination for 30-day mortality than NHFS alone (c-statistics 0.74, 95% CI 0.68-0.80 vs. 0.68, 95% CI 0.62-0.75, respectively). CRP, NLR and MLR did not improve discrimination for any outcome when added to NHFS.

conclusionsAlbumin, but not other markers of inflammation, enhances risk prediction after hip fracture when added to the NHFS. Routine recording of albumin at admission may have a future role in an enhanced risk scoring system for prognostication in hip fracture surgery.

Indexed as

Electronic Health RecordsHip FracturesInflammationAgedAged, 80 and overBiomarkersC-Reactive ProteinFemaleHumansLength of StayMaleMiddle AgedPrognosisRisk AssessmentTreatment OutcomeBiomarkersC-Reactive ProteinAlbuminBiomarkersCRPFrailtyHip fractureInflammationPost-operative outcomesPrognostication

Identifiers

PMID40275223
PMCPMC12023628

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.