Evidence map›Paper›PMID 38929842›Full record

ArticleJournal of personalized medicine2024

Comparative Analysis of Frailty Scores for Predicting Adverse Outcomes in Hip Fracture Patients: Insights from the United States National Inpatient Sample.

Maximilian Peter Forssten, Yang Cao, Ahmad Mohammad Ismail, Lakshika Tennakoon, David A Spain, Shahin Mohseni

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Article in Journal of personalized medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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  3. Observational
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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Maximilian Peter ForsstenDepartment of Orthopedic Surgery, Faculty of Medicine and Health, Orebro University, Orebro 701 82, Sweden.
Yang CaoClinical Epidemiology and Biostatistics, School of Medical Sciences, Faculty of Medicine and Health, Orebro University, 701 82 Orebro, Sweden.ORCID 0000-0002-3552-9153
Ahmad Mohammad IsmailSchool of Medical Sciences, Orebro University, 701 82 Orebro, Sweden.
Lakshika TennakoonDepartment of Surgery, Section of Trauma and Acute Care Surgery, Stanford University School of Medicine, Stanford, CA 94305, USA.
David A SpainDepartment of Surgery, Section of Trauma and Acute Care Surgery, Stanford University School of Medicine, Stanford, CA 94305, USA.
Shahin MohseniSchool of Medical Sciences, Orebro University, 701 82 Orebro, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the current investigation was to compare the ability of several frailty scores to predict adverse outcomes in hip fracture patients. All adult patients (18 years or older) who suffered a hip fracture due to a fall and underwent surgical fixation were extracted from the 2019 National Inpatient Sample (NIS) Database. A combination of logistic regression and bootstrapping was used to compare the predictive ability of the Orthopedic Frailty Score (OFS), the Nottingham Hip Fracture Score (NHFS), the 11-factor modified Frailty Index (11-mFI) and 5-factor (5-mFI) modified Frailty Index, as well as the Johns Hopkins Frailty Indicator. A total of 227,850 patients were extracted from the NIS. In the prediction of in-hospital mortality and failure-to-rescue (FTR), the OFS surpassed all other frailty measures, approaching an acceptable predictive ability for mortality [AUC (95% CI): 0.69 (0.67-0.72)] and achieving an acceptable predictive ability for FTR [AUC (95% CI): 0.70 (0.67-0.72)]. The NHFS demonstrated the highest predictive ability for predicting any complication [AUC (95% CI): 0.62 (0.62-0.63)]. The 11-mFI exhibited the highest predictive ability for cardiovascular complications [AUC (95% CI): 0.66 (0.64-0.67)] and the NHFS achieved the highest predictive ability for delirium [AUC (95% CI): 0.69 (0.68-0.70)]. No score succeeded in effectively predicting venous thromboembolism or infections. In summary, the investigated frailty scores were most effective in predicting in-hospital mortality and failure-to-rescue; however, they struggled to predict complications.

Indexed as

frailtyhip fractureJohns Hopkins Frailty Indicatorlogistic regressionModified Frailty IndexmorbiditymortalityNottingham Hip Fracture ScoreOrthopedic Frailty Scoreprediction

Identifiers

PMID38929842
PMCPMC11204756

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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.