Evidence map›Paper›PMID 33552668›Full record

ArticleGeriatric orthopaedic surgery & rehabilitation2021

ASA Physical Status Classification Improves Predictive Ability of a Validated Trauma Risk Score.

Sanjit R Konda, Rown Parola, Cody Perskin, Kenneth A Egol

Open access · goldAbstract read
In one paragraph

Article in Geriatric orthopaedic surgery & rehabilitation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
7.1field-weighted citation impact, top 2% of its field
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

16 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
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  3. Ready for discharge? Factors associated with prolonged length of stay following geriatric hip fracture.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2025
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  5. Clinical and functional outcomes of locked plating vs. cerclage compression wiring for AO type C patellar fractures- a retrospective single-center cohort study.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2024
    Article
  6. Under pressure: symptomatic pulmonary hypertension is a predictor of poor outcome following hip fracture.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2024
    Article
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  14. Transfusion timing relative to surgery does not impact outcomes in hip fracture patients.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2022
    Article
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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

4 authors at 1 institution in 1 country.

Sanjit R KondaDepartment of Orthopedic Surgery, NYU Langone Health, NYU Langone Orthopedic Hospital, New York, NY, USA.
Rown ParolaDepartment of Orthopedic Surgery, NYU Langone Health, NYU Langone Orthopedic Hospital, New York, NY, USA.ORCID https://orcid.org/0000-0003-0342-4741
Cody PerskinDepartment of Orthopedic Surgery, NYU Langone Health, NYU Langone Orthopedic Hospital, New York, NY, USA.ORCID https://orcid.org/0000-0003-2239-5157
Kenneth A EgolDepartment of Orthopedic Surgery, NYU Langone Health, NYU Langone Orthopedic Hospital, New York, NY, USA.
New York University Langone Orthopedic Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe Score for Trauma Triage in the Geriatric and Middle-Aged (STTGMA) is a validated mortality risk score that evaluates 4 major physiologic criteria: age, comorbidities, vital signs, and anatomic injuries. The aim of this study was to investigate whether the addition of ASA physical status classification system to the STTGMA tool would improve risk stratification of a middle-aged and elderly trauma population.

methodsA total of 1332 patients aged 55 years and older who sustained a hip fracture through a low-energy mechanism between October 2014 and February 2020 were included. The STTGMA and STTGMAASA mortality risk scores were calculated. The ability of the models to predict inpatient mortality was compared using area under the receiver operating characteristic curves (AUROCs) by DeLong's test. Patients were stratified into minimal, low, moderate, and high risk cohorts based on their risk scores. Comparative analyses between risk score stratification distribution of mortality, complications, length of stay, ICU admission, and readmission were performed using Fisher's exact test. Total cost of admission was fitted by univariate linear regression with STTGMA and STTGMAASA.

resultsThere were 27 inpatient mortalities (2.0%). When STTGMA was used, the AUROC was 0.742. When STTGMAASA was used, the AUROC was 0.823. DeLong's test resulted in significant difference in predictive capacity for inpatient mortality between STTGMA and STTGMAASA (p = 0.04). Risk score stratification yielded significantly different distribution of all outcomes between risk cohorts (p < 0.01). STTGMAASA stratification produced a larger percentage of all negative outcomes with increasing risk cohort. Total hospital cost was statistically correlated with both STTGMAASA (p < 0.01) and STTGMA (p = 0.02).

conclusionIncluding ASA physical status as a variable in STTGMA improves the model's ability to predict inpatient mortality and risk stratify middle-aged and geriatric hip fracture patients.

Indexed as

economics of medicinegeriatric medicinegeriatric traumasystems of caretrauma surgery

Identifiers

PMID33552668
PMCPMC7844441
OpenAlexW3124762703

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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.