Evidence map›Paper›PMID 29744645›Full record

ArticleInternational orthopaedics2019

Reasons for delaying surgery following hip fractures and its impact on one year mortality.

Alejandro Lizaur-Utrilla, Blanca Gonzalez-Navarro, Maria F Vizcaya-Moreno, Francisco A Miralles Muñoz, Santiago Gonzalez-Parreño, Fernando A Lopez-Prats

Abstract read
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In one paragraph

Article in International orthopaedics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
6.4field-weighted citation impact, top 3% 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 65 citations in OpenAlex.

  1. Pooled it
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  4. Review
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  6. A retrospective chart analysis with 5-year follow-up of early care for geriatric hip fracture patients: why we should continue talking about hip fractures.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2024
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  7. Article
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  9. Observational
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  11. Mortality-Related Risk Factors in Geriatric Patients with Hip Fracture.Annals of geriatric medicine and research · 2023
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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

6 authors at 2 institutions in 1 country.

Alejandro Lizaur-UtrillaOrthopaedic Surgery, Elda University Hospital, Miguel Hernandez University, Ctra Elda-Sax s/n, 03600, Elda, Alicante, Spain. lizaur1@telefonica.net.ORCID http://orcid.org/0000-0003-4798-2702
Blanca Gonzalez-NavarroOrthopaedic Surgery, Elda University Hospital, Miguel Hernandez University, Ctra Elda-Sax s/n, 03600, Elda, Alicante, Spain.
Maria F Vizcaya-MorenoClinical Research Group, Faculty of Health Sciences, University of Alicante, Alicante, Spain.
Francisco A Miralles MuñozOrthopaedic Surgery, Elda University Hospital, Miguel Hernandez University, Ctra Elda-Sax s/n, 03600, Elda, Alicante, Spain.
Santiago Gonzalez-ParreñoOrthopaedic Surgery, Elda University Hospital, Miguel Hernandez University, Ctra Elda-Sax s/n, 03600, Elda, Alicante, Spain.
Fernando A Lopez-PratsTraumatology and Orthopaedia, Miguel Hernandez University, Elche, Alicante, Spain.
Universitat de Miguel Hernández d'Elx · ESUniversity of Alicante · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe purposes of this study were to identify the reasons for delayed surgery following hip fractures and analyze the impact of these reasons on 1-year mortality.

methodsA prospective cohort study of 1234 patients with mean age of 83.1 (range 65-92, SD 8.0) who underwent hip fracture surgery compared three subgroups: (1) surgery within two days from admission (609 patients); (2) delayed surgery for medical reasons (286); and (3) delayed surgery for organizational causes (339). Medical reason was defined as the need of medical optimization of the patient prior to surgery. Pre-operative assessment was performed by the American Society of Anesthesiologists (ASA) score, Charlson Comorbidity Index (CCI), Hodkinson mental status, Katz index for activities of daily living, and Short-Form (SF-12) questionnaire. Univariate analyses were used (chi-square and Fisher exact or Mantel-Haenszel tests for categorical data, and variance analysis, Student t test, or Mann-Whitney U test for continuous data). Logistic regression models were used for influence of variables on complications and one year mortality.

resultsThere were no significant differences in complications or one year mortality rates between patients with surgery within two days and those with delayed surgery for medical reasons. However, the patients with delayed surgery for organizational causes had significant higher rates of both complications and one year mortality compared to the other two groups (p = 0.001).

conclusionsThis study suggests that waiting time for hip fracture surgery more than two days was not associated with higher complication or mortality rate if waiting was to stabilize patients with active comorbidities at admission, compared to stable patients at admission with early surgery. Although early surgery within two days from admission is desirable for stable patients at admission, in patients with complex comorbidities, the surgery should be performed once they are optimized. However, the patients with delayed surgery for organizational reasons had a significant higher rate of post-operative complications and one year mortality compared to the other two groups.

Indexed as

Time-to-TreatmentActivities of Daily LivingAgedAged, 80 and overComorbidityFemaleFracture FixationHip FracturesHumansLogistic ModelsMaleProspective StudiesDelayed surgeryEarly surgeryHip fractureMedical reasonsOrganizational reasons

Identifiers

PMID29744645
OpenAlexW2802224094

What OpenQuestion holds

Textmetadata
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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.