Evidence map›Paper›PMID 40371739›Full record

Observational studyOrthopaedic surgery2025

FPG Score: A Rapid Admission-Based Tool for Predicting In-Hospital Mortality in Elderly Hip Fracture Patients.

Marcello Covino, Guido Bocchino, Maria Beatrice Bocchi, Chiara Barbieri, Benedetta Simeoni, Antonio Gasbarrini, Francesco Franceschi, Giulio Maccauro, Raffaele Vitiello

Abstract readObservational Study
In one paragraph

Observational study in Orthopaedic surgery, 2025. 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

9 authors.

Marcello CovinoEmergency Department, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
Guido BocchinoUniversità Cattolica del Sacro Cuore, Rome, Italy.ORCID https://orcid.org/0009-0000-4591-4015
Maria Beatrice BocchiUniversità Cattolica del Sacro Cuore, Rome, Italy.
Chiara BarbieriUniversità Cattolica del Sacro Cuore, Rome, Italy.
Benedetta SimeoniEmergency Department, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
Antonio GasbarriniUniversità Cattolica del Sacro Cuore, Rome, Italy.
Francesco FranceschiEmergency Department, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
Giulio MaccauroUniversità Cattolica del Sacro Cuore, Rome, Italy.
Raffaele VitielloUniversità Cattolica del Sacro Cuore, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveHip fractures in elderly patients are a major public health concern, associated with high morbidity and mortality. Early identification of high-risk patients is crucial to guide clinical decision-making, optimize resource allocation, and improve outcomes. However, existing risk prediction models, such as the Nottingham Hip Fracture Score (NHFS) and the Charlson Comorbidity Index (CCI), require laboratory or postoperative data, delaying risk stratification. This study aims to develop and validate the FPG score, a novel and simplified tool for predicting intrahospital mortality in elderly patients undergoing surgery for proximal femur fractures, using only admission data available at triage. MATERIALS AND

methodsThis single-center, observational cohort study was conducted in two phases: a retrospective derivation phase (2015-2019) and a prospective validation phase (2020-2022). Patients aged ≥ 65 years with proximal femur fractures (AO 31A, 31B) undergoing surgical treatment were included. Exclusions involved pathological, periprosthetic, and femoral head fractures (31C). Data on demographics, comorbidities, vital signs, and laboratory values were collected at Emergency Unit triage. The primary outcome was intrahospital mortality. Univariate and multivariate logistic regression identified predictors, and ROC analysis assessed the FPG score's predictive performance, with AUC, sensitivity, and specificity evaluated using SPSS v25 and MedCalc v18.

resultsIn the retrospective phase, 1984 patients (median age: 83.5 years, 28.7% male) were analyzed, with an observed intrahospital mortality of 3.8% (77 patients). The FPG score demonstrated an AUC of 0.79, outperforming NHFS and CCI. A score > 2 was associated with a > 50% mortality risk, with 61% sensitivity and 80% specificity. In the validation cohort (752 patients, 4.8% mortality), the FPG score maintained strong predictive performance (AUC = 0.751).

conclusionThe FPG score provides a rapid, objective, and clinically applicable tool for mortality risk assessment in elderly patients with hip fractures, allowing for immediate triage-based decision-making. Unlike NHFS and CCI, it does not require laboratory or post-admission data, making it particularly useful in emergency settings. Its integration into clinical practice may enhance patient management, improve resource allocation, and facilitate early intervention. While the score has been validated in a single-center study, further multicenter validation is needed to confirm its broader applicability. Future research should explore the integration of frailty indices and laboratory markers to refine its predictive accuracy.

Indexed as

Hip FracturesHospital MortalityPatient AdmissionAgedAged, 80 and overFemaleHumansMalePredictive Value of TestsProspective StudiesRetrospective StudiesRisk AssessmentTriagedeathhip fracturerisk scoresurgerytrauma

Identifiers

PMID40371739
PMCPMC12214418

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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.