Evidence map›Paper›PMID 28261422›Full record

ArticleClinics in orthopedic surgery2017

A Comprehensive Analysis of the Causes and Predictors of 30-Day Mortality Following Hip Fracture Surgery.

Hassaan Qaiser Sheikh, Fahad Siddique Hossain, Adeel Aqil, Babawande Akinbamijo, Vhaid Mushtaq, Harish Kapoor

Registry-linked trialAbstract read
In one paragraph

Article in Clinics in orthopedic surgery, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05133648 (Association of Anesthesia Technique With Morbidity and Mortality in Patients With COVID-19 and Surgery for Hip Fracture), which is not on this map. Cited by 72 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed, 3 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.

NCT05133648 unknown statusnot on this mapstarted 2023, after this paper: background citation

Association of Anesthesia Technique With Morbidity and Mortality in Patients With COVID-19 and Surgery for Hip Fracture: a Retrospective Population Cohort Study

TypeobservationalSponsorUniversity of British ColumbiaRan2023 to 2023Enrolled1,000ConditionsHip Fractures, COVID-19, General Anesthesia, Spinal AnesthesiaArmsHip Fracture Surgery, COVID-19 infection
3 · Its place in the literature

Who cites it

72 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Systematic review and meta-analysis of preoperative predictors for early mortality following hip fracture surgery.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2024
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12 more citing papers are in PubMed but not listed here.

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.

Hassaan Qaiser SheikhDepartment of Trauma and Orthopaedics, Leeds General Infirmary, Leeds, UK.
Fahad Siddique HossainDepartment of Trauma and Orthopaedics, University College London, London, UK.
Adeel AqilDepartment of Trauma and Orthopaedics, Leeds General Infirmary, Leeds, UK.
Babawande AkinbamijoDepartment of Trauma and Orthopaedics, Leeds General Infirmary, Leeds, UK.
Vhaid MushtaqDepartment of Trauma and Orthopaedics, Leeds General Infirmary, Leeds, UK.
Harish KapoorDepartment of Trauma and Orthopaedics, Leeds General Infirmary, Leeds, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA fracture neck of femur is the leading cause of injury-related mortality in the elderly population. The 30-day mortality figure is a well utilised marker of clinical outcome following a fracture neck of femur. Current studies fail to analyse all patient demographic, biochemical and comorbid parameters associated with increased 30-day mortality. We aimed to assess medical risk factors for mortality, which are easily identifiable on admission for patients presenting with a fractured neck of femur.

methodsA retrospective review of a prospectively populated database was undertaken to identify all consecutive patients with a fracture neck of femur between October 2008 and March 2011. All factors related to the patient, injury and surgery were identified. The primary outcome of interest was 30-day mortality. Univariate and subsequent multivariate analyses using a backward stepwise likelihood ratio Cox regression model were performed in order to establish all parameters that significantly increased the risk of death.

resultsA total of 1,356 patients were included in the study. The 30-day mortality was 8.7%. The most common causes of death included pneumonia, sepsis and acute myocardial infarction. Multiple regression analysis revealed male gender, increasing age, admission source other than the patient's own home, admission haemoglobin of less than 10 g/dL, a history of myocardial infarction, concomitant chest infection during admission, increasing Charlson comorbidity score and liver disease to be significant predictors of mortality.

conclusionsThis study has elucidated risk factors for mortality using clinical and biochemical information which are easily gathered at the point of hospitalization. These results allow for identification of vulnerable patients who may benefit from a prioritisation of resources.

Indexed as

AdultAgedAged, 80 and overAge FactorsComorbidityFemaleFemoral Neck FracturesHemoglobinsHumansLiver DiseasesMaleMiddle AgedMyocardial InfarctionPneumoniaPostoperative ComplicationsProportional Hazards ModelsHemoglobinsEpidemiologyHip fracturesMortalityRisk factors

Identifiers

PMID28261422
PMCPMC5334018

What OpenQuestion holds

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LicenceCC BY-NC
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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.