Evidence map›Paper›PMID 40889943›Full record

ArticleHip & pelvis2025

Impact of the COVID-19 Pandemic on Clinical Outcomes after Hip Fracture Surgery in Elderly Patients.

Dae-Kyung Kwak, Seung Hun Lee, Je-Hyun Yoo

Abstract read
In one paragraph

Article in Hip & pelvis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Observational
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

3 authors.

Dae-Kyung KwakDepartment of Orthopaedic Surgery, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, Korea.ORCID https://orcid.org/0000-0002-7089-4359
Seung Hun LeeDepartment of Orthopaedic Surgery, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, Korea.ORCID https://orcid.org/0000-0003-4263-2201
Je-Hyun YooDepartment of Orthopaedic Surgery, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, Korea.ORCID https://orcid.org/0000-0002-0777-1575

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The coronavirus disease 2019 (COVID-19) pandemic led to mandatory screening of hospitalized patients. This study aims to assess the impact of COVID-19 admission delays on clinical outcomes, specifically complications and mortality, in elderly patients following hip fracture surgery. Materials and Methods: This study included 563 patients (aged ≥70 years) who underwent hip fracture surgery between February 2018 to January 2021 and were followed up for at least one year. The cohort was divided into two groups: a pre-COVID-19 pandemic group (control group) and a COVID-19 pandemic group (study group). The patients who tested positive for COVID-19 were excluded. The demographic data, the time from injury to surgery, admission to surgery, postoperative complications, and 1-year mortality were collected and compared between the two groups. Results: The time from injury to surgery was significantly longer in the study group compared to the control group, primarily due to delays in the time from injury to hospital visit and from hospital visit to admission (4.6 days vs. 3.7 days, Conclusion: Our findings suggest that delays in the time from injury to hospital visit and hospital visit to admission during the COVID-19 pandemic led to significant delays in hip fracture surgery for elderly patients. These delays were associated with increased postoperative medical complications and a higher one-year mortality rate.

Indexed as

ComplicationCOVID-19 pandemicElderly patientsHip fractureMortality

Identifiers

PMID40889943
PMCPMC12417860

What OpenQuestion holds

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LicenceCC BY-NC
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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.