Evidence map›Paper›PMID 30581627›Full record

ArticleAdvances in orthopedics2018

Predicting Discharge Location among Low-Energy Hip Fracture Patients Using the Score for Trauma Triage in the Geriatric and Middle-Aged (STTGMA).

Sanjit R Konda, Hesham Saleh, Ariana Lott, Kenneth A Egol

Open access · goldAbstract read
In one paragraph

Article in Advances in orthopedics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

11 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Transfusion timing relative to surgery does not impact outcomes in hip fracture patients.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2022
    Article
  5. Article
  6. Article
  7. Is There Value in Early Postoperative Visits Following Hip Fracture Surgery?Geriatric orthopaedic surgery & rehabilitation · 2021
    Article
  8. Article
  9. Article
  10. 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 Medical Center, 301 East 17th Street, New York, NY 10003, USA.ORCID 0000-0001-8488-2677
Hesham SalehDepartment of Orthopedic Surgery, NYU Langone Medical Center, 301 East 17th Street, New York, NY 10003, USA.
Ariana LottDepartment of Orthopedic Surgery, NYU Langone Medical Center, 301 East 17th Street, New York, NY 10003, USA.
Kenneth A EgolDepartment of Orthopedic Surgery, NYU Langone Medical Center, 301 East 17th Street, New York, NY 10003, USA.
NYU Langone Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patterns of discharge location may be evident based on the "sickness" profile of the patient. This study sought to evaluate the ability of the STTGMA tool, a validated mortality risk index for middle-aged and geriatric trauma patients, to predict discharge location in a cohort of low-energy elderly hip fracture patients, with successful discharge planning measured by readmission rates. Low-energy hip fracture patients aged 55 years and older were prospectively followed throughout their hospitalization. On initial evaluation in the Emergency Department, each patient's age, comorbidities, injury severity, and functional status were utilized to calculate a STTGMA score. Discharge location was recorded with the primary outcome measure of an unsuccessful discharge being readmission within 30 days. Patients were risk stratified into minimal-, low-, moderate-, and high-risk STTGMA cohorts. A p-value of <0.05 was considered significant for all statistical tests. 408 low-energy hip fractures were enrolled in the study with a mean age of 81.3±10.6 years. There were 214 (52.5%) intertrochanteric fractures, 167 (40.9%) femoral neck fractures, and 27 (6.6%) subtrochanteric femur fractures. There was no difference in readmission rates within STTGMA risk cohorts with respect to discharge location; however, among individual discharge locations there was significant variation in readmission rates when patients were risk stratified. Overall, STTGMA risk cohorts appeared to adequately risk-stratify readmission with 3.5% of minimal-risk patients experiencing readmission compared to 24.5% of moderate-risk patients. Specific cohorts deemed high-risk for readmission were adequately identified. The STTGMA tool allows for prediction of unfavorable discharge location in hip fracture patients. Based on observations made via the STTGMA tool, improvements in discharge planning can be undertaken to increase home discharge and to more closely track "high-risk" discharges to help prevent readmissions.

Identifiers

PMID30581627
PMCPMC6276529
OpenAlexW2901633181

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Registered trials

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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.