Evidence map›Paper›PMID 31695265›Full record

ArticleJournal of clinical orthopaedics and trauma2019

A predictive model for increased hospital length of stay following geriatric hip fracture.

Olivia M Knoll, Nikita Lakomkin, Michelle S Shen, Moses Adebayo, Parth Kothari, Ashley C Dodd, Basem Attum, Nathan Lee, Deepak Chona, Manish K Sethi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical orthopaedics and trauma, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Differences in hospital length of stay and total hospital charge by income level in patients hospitalized for hip fractures.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2022
    Article
  5. Article
  6. Length of Hospital Stay for Hip Fracture and 30-Day Mortality in People With Alzheimer's Disease: A Cohort Study in Finland.The journals of gerontology. Series A, Biological sciences and medical sciences · 2020
    Article
  7. 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

10 authors.

Olivia M KnollThe Vanderbilt Orthopaedic Institute Center for Health Policy, 1215 21st Avenue South, Suite 4200 Medical Center East, South Tower Nashville, TN, 37232, USA.
Nikita LakomkinDepartment of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Michelle S ShenNew York University School of Medicine, New York, NY, USA.
Moses AdebayoDepartment of Orthopaedic Surgery, Howard University, Washington, D.C., USA.
Parth KothariDepartment of Orthopaedics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Ashley C DoddUniversity of Tennessee Health Science Center, Memphis, TN, USA.
Basem AttumDepartment of Orthopaedic Surgery, University of California San Diego School of Medicine, San Diego, CA, USA.
Nathan LeeDepartment of Orthopaedics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Deepak ChonaDepartment of Orthopaedic Surgery, Stanford University School of Medicine, Redwood City, CA, USA.
Manish K SethiThe Vanderbilt Orthopaedic Institute Center for Health Policy, 1215 21st Avenue South, Suite 4200 Medical Center East, South Tower Nashville, TN, 37232, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe purpose of this study was to identify the risk factors that are significantly associated with hospital length of stay (LOS) following geriatric hip fracture and to use these significant variables to develop a LOS calculator. MATERIALS AND

methodsThis was a retrospective study examining 614 patients treated for geriatric hip fracture between January 2000 and December 2009 at an urban, Level 1 trauma center. A negative binomial regression analysis was used to identify perioperative variables associated with hospital LOS.

results614 patients met the inclusion criteria, presenting with a mean age of 78 (±10) years. The most common pre-operative comorbidity was hypertension, followed by diabetes and COPD. After controlling for all collected comorbidities as well as demographics and operative variables, hypertension (IRR: 1.10, p = 0.029) and disseminated cancer (IRR: 1.24, p = 0.007) were found to be significantly associated with LOS. In addition, two demographic/presenting variables, admission to the medicine service (IRR: 1.48, p < 0.001) and male sex (IRR: 1.09, p = 0.034), were shown to be independent risk factors for prolonged LOS. These variables were synthesized into a LOS formula, which estimated LOS to within 3 days of the true length of stay for 0.758 of the series (95% confidence interval: 0.661 to 0.855).

conclusionsThis study identified several comorbidity and perioperative variables that were significantly associated with LOS following geriatric hip fracture surgery. The resulting LOS model may have utility in the risk stratification of orthopaedic trauma patients presenting with hip fracture.

Indexed as

Hip fracturesLength of stayRisk factors

Identifiers

PMID31695265
PMCPMC6823779

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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.