Evidence map›Paper›PMID 33037923›Full record

ArticleEuropean journal of orthopaedic surgery & traumatology : orthopedie traumatologie2021

Validation of a prospective mortality prediction score for hip fracture patients.

Jordan Etscheidt, Michael McHugh, Joanne Wu, Mark E Cowen, James Goulet, Mark Hake

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Article in European journal of orthopaedic surgery & traumatology : orthopedie traumatologie, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

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4 · The record

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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 at 3 institutions in 1 country.

Jordan EtscheidtDepartment of Orthopaedic Surgery, University of Michigan, Michigan, Ann Arbor, USA.
Michael McHughDepartment of Orthopaedic Surgery, University of Michigan, Michigan, Ann Arbor, USA. micmchug@med.umich.edu.ORCID http://orcid.org/0000-0003-3704-5133
Joanne WuAcademic Research Department, St. Joseph Mercy Hospital, Michigan, Ann Arbor, USA.
Mark E CowenCenter for Healthcare Analytics and Performance Improvement, St. Joseph Mercy Health System, Michigan, Ypsilanti, USA.
James GouletDepartment of Orthopaedic Surgery, University of Michigan, Michigan, Ann Arbor, USA.
Mark HakeDepartment of Orthopaedic Surgery, University of Michigan, Michigan, Ann Arbor, USA.
University of Michigan · USMercy Health System · USTrinity Health Ann Arbor Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAlthough mortality prediction tools are the subject of significant interest as components of comprehensive hip fracture protocols, few have been applied or validated to prospectively inform ongoing patient management. Five regional hospitals are currently generating real-time mortality risk scores for all adults at the time of admission using available laboratory and comorbidity data (Cowen et al. J Hosp Med 9(11):720-726, 2014). Although results for aggregated conditions have been published, the primary aim of this study is to determine how well prospectively calculated scores predict mortality for hip fracture patients specifically.

methodsUsing a five-hospital database, 1376 patients who were prospectively scored on admission were identified from January 2013 to April 2017, cross-referencing ICD9/10 diagnosis and procedure codes for AO/OTA 31A1 through 31B3 fractures. Prospective mortality scores have been previously divided into 5 risk categories to facilitate ease of clinical use. Vital status was determined from hospital data, Social Security and Michigan Death Indices.

resultsProspective scores demonstrated good mortality prediction, with AUCs of 0.80, 0.73, 0.74 and 0.74 for in hospital, 30-, 60- and 90-day mortality, respectively. Patients in the top 2 mortality risk categories represented 30% (410/1376) of the cohort and accounted for 78% (25/32) of the inpatient and 59% (57/97) of the 30 day deaths.

conclusionsImplementation of this real-time mortality risk tool is feasible and valid for the prediction of short- to medium-term mortality risk for hip fracture patients, and potentially offers valuable information to guide ongoing patient management decisions such as admitting service or level of care.

Indexed as

Hip FracturesAdultCohort StudiesComorbidityHospital MortalityHumansProspective StudiesRisk FactorsGeriatric orthopedicsGeriatric traumaHip fractureMortalityMortality scoresPrediction

Identifiers

PMID33037923
OpenAlexW3092413460

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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.