Evidence map›Paper›PMID 39640110›Full record

ArticleCureus2024

A Comparative Analysis of Age, BMI, Age/BMI Ratio, Nottingham Hip Fracture Score, and American Society of Anesthesiologists (ASA) Grade as Predictors of 30-Day Mortality After Neck of Femur Fractures: A Retrospective Cohort Study.

Matthew Goodman, Anand Pillai

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Matthew GoodmanTrauma and Orthopaedics, University of Manchester, Manchester, GBR.
Anand PillaiTrauma and Orthopaedics, Wythenshawe Hospital, Manchester, GBR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objective Hip fracture is a condition associated with high mortality rates, necessitating the use of risk assessment tools to optimise patient care. This study aimed to introduce and describe a novel score using Age/BMI as an improved predictor of 30-day mortality Methods A retrospective cohort study was conducted at a high-volume neck of the femur centre. Data from 574 patients treated over one year were collected and analysed. Multivariate logistic regression analysis was used to determine variables that significantly increased the risk of 30-day mortality. Results A total of 574 patients were identified: 388 females and 186 males. The overall mortality of the patient cohort at the time of data collection was 21.78% (n=125). The 30-day mortality was found to be 5.75% (n=33) while the one-year mortality rate was 21.08% (n=121). The key risk factors for mortality in neck of femur fractures, highlighted in the literature review, were compared against the binomial outcome variable of 30-day mortality. Categorical data analysis was first completed to highlight key trends. A regression analysis then demonstrated the significance of each factor. Age (p=0.75207), BMI (p=0.97674), and Age/BMI (p=0.92205) showed no statistical significance. The Nottingham Hip Fracture Score (NHFS) was marginally significant (p=0.05749). The American Society of Anesthesiologists (ASA) grade was shown to be statistically significant, emerging as the strongest predictor of 30-day mortality (p=0.00953). Conclusions Our findings show that current guidelines utilising ASA and NHFS are excellent predictors of 30-day mortality in hip fracture patients. The proposed Age/BMI score did not demonstrate efficacy in this cohort. Further research is warranted to explore alternative predictors and enhance risk assessment in this population.

Indexed as

hip fracturemortalityorthopaedicsrisktrauma

Identifiers

PMID39640110
PMCPMC11617786

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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.