Evidence map›Paper›PMID 31547057›Full record

ArticleJournal of clinical medicine2019

Effects of Hip Structure Analysis Variables on Hip Fracture: A Propensity Score Matching Study.

Yong-Chan Ha, Jun-Il Yoo, Jeongkyun Yoo, Ki Soo Park

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2019. 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
–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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Osteoporosis in 10 years time: a glimpse into the future of osteoporosis.Therapeutic advances in musculoskeletal disease · 2022
    Article
  10. Advanced 2D image processing technique to predict hip fracture risk in an older population based on single DXA scans.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2020
    Article
  11. Review
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.

Yong-Chan HaDepartment of Orthopaedic Surgery, Chung-Ang University College of Medicine, Seoul 06974, Korea. hayongch@naver.com.ORCID 0000-0002-6249-0581
Jun-Il YooDepartment of Orthopaedic Surgery, Gyeongsang National University Hospital, Jinju 52727, Korea. furim@daum.net.
Jeongkyun YooDepartment of Orthopaedic Surgery, Gyeongsang National University College of Medicine, Jinju 52727, Korea. luxiant@naver.com.
Ki Soo ParkInstitute of Health Sciences, Gyeongsang National University, Jinju 52727, Korea. parkks@gnu.ac.kr.ORCID 0000-0001-5571-3639

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this retrospective study was to compare the hip structural analysis (HSA) levels of patients with those of a hip fracture group. All patients with an initial hip fracture who were older than or equal to 65 years old and admitted to our hospital between March 2018 and January 2019 were eligible for this study. During the study period, 134 hip fracture patients aged 65 years and older were admitted to the study institution, and a total of 51 hip fracture patients were ultimately assigned to the patient group. Age, sex, body mass index (BMI), skeletal muscle index (SMI), and vitamin D were matched in the two groups (hip fracture (HF) group vs. non-hip fracture group) using propensity score matching (PSM) without any statistical differences. Following propensity score matching, 51 patients in the HF group and 51 patients in the non-HF group were included in the study, respectively. Hip axis length (

Indexed as

elderlyhip fracturehip structure analysissarcopenia

Identifiers

PMID31547057
PMCPMC6833009

What OpenQuestion holds

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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.