Evidence map›Paper›PMID 33117596›Full record

ArticleGeriatric orthopaedic surgery & rehabilitation2020

A Nomogram for Predicting 30-day Mortality in Elderly Patients Undergoing Hemiarthroplasty for Femoral Neck Fractures.

Zachary Thomas Crawford, Brendan Southam, Robert Matar, Frank R Avilucea, Katherine Bowers, Mekibib Altaye, Michael T Archdeacon

Open access · goldAbstract read
In one paragraph

Article in Geriatric orthopaedic surgery & rehabilitation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Systematic review and meta-analysis of preoperative predictors for early mortality following hip fracture surgery.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2024
    Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

7 authors at 3 institutions in 1 country.

Zachary Thomas CrawfordUniversity of Cincinnati College of Medicine, Cincinnati, OH, USA.ORCID https://orcid.org/0000-0002-2736-458X
Brendan SouthamUniversity of Cincinnati College of Medicine, Cincinnati, OH, USA.ORCID https://orcid.org/0000-0002-3558-6596
Robert MatarUniversity of Cincinnati College of Medicine, Cincinnati, OH, USA.ORCID https://orcid.org/0000-0001-8740-2990
Frank R AviluceaOrlando Health Corp Orlando, FL, USA.
Katherine BowersCincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Mekibib AltayeCincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Michael T ArchdeaconUniversity of Cincinnati College of Medicine, Cincinnati, OH, USA.
University of Cincinnati Medical Center · USCincinnati Children's Hospital Medical Center · USOrlando Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionFemoral neck fractures in the elderly are increasingly common as a result of a growing geriatric population with 1-year mortality rates approaching 35%. While preoperative medical optimization and early time to surgery have reduced morbidity and mortality, patients with numerous medical comorbidities remain high risk for death in the perioperative period. Identifying those with greatest risk with a scoring system or nomogram may assist multidisciplinary teams in reducing mortality following hemiarthroplasty. PURPOSE: Identify predictors of 30-day mortality in elderly patients who underwent hemiarthroplasty for a femoral neck fracture to generate a predictive nomogram to determine the probability of post-operative mortality.

methodsRetrospective evaluation using data from the ACS-NSQIP database from 2005 to 2014 with CPT code 27125 for hip hemiarthroplasty. Multiple factors including demographics and comorbidities were compared in patients who experienced 30-day mortality and those who did not. T-test and chi-square tests were used to analyze data and a multivariate model was generated using logistic regression.

resultsAdvanced age (odds ratio (OR) 1.04), underweight BMI (OR 1.55), male sex (OR 1.80), reduced functional status (OR 2.04), heart failure within 30 days prior to surgery (OR 2.22), American Society of Anesthesiologists grade > 2 (OR > 2.50), disseminated cancer (OR 3.43) were all found to have statistically significant odds ratios for 30-day mortality following hemiarthroplasty.

conclusionA tool based on easily identifiable risk factors, demographics, and comorbidities was developed that can help predict elderly patients who will experience mortality within 30 days of following hemiarthroplasty. In addition to identifying high risk patients, the nomogram can serve as a counseling tool for physicians to use with patients and their families to assist with better understanding of perioperative mortality risk.

Indexed as

adult reconstructive surgeryanesthesiabiostatisticseconomics of medicinefragility fracturesgeriatric medicine

Identifiers

PMID33117596
PMCPMC7573749
OpenAlexW3092823824

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.