Evidence map›Paper›PMID 32864905›Full record

ArticleJournal of Korean medical science2020

National Trends in the Repair of Isolated Superior Labral Tear from Anterior to Posterior in Korea.

Young Hoon Jo, Hyun Keun Oh, Soo Young Jeong, Bong Gun Lee

Open access · goldAbstract read
In one paragraph

Article in Journal of Korean medical science, 2020. 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
0.6field-weighted citation impact, top 31% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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 at 3 institutions in 1 country.

Young Hoon JoDepartment of Orthopedic Surgery, Hanyang University Guri Hospital, Guri, Korea.ORCID https://orcid.org/0000-0002-4299-2496
Hyun Keun OhDepartment of Orthopedic Surgery, Base Orthopedic Clinic, Seoul, Korea.ORCID https://orcid.org/0000-0002-4260-1088
Soo Young JeongDepartment of Orthopedic Surgery, Hanyang University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-4513-0461
Bong Gun LeeDepartment of Orthopedic Surgery, Hanyang University College of Medicine, Seoul, Korea. orthdr@naver.com.ORCID https://orcid.org/0000-0002-4003-5529
Hanyang University · KRHanyang University Guri Hospital · KRKorea Basic Science Institute · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe optimal treatment for superior labral tear from anterior to posterior (SLAP) lesions is controversial. Thus, we aimed to investigate the national surgical trends in isolated SLAP repair in Korea.

methodsWe analyzed a nationwide database from the Korean Health Insurance Review and Assessment Service from 2008 to 2017. We investigated the trends in SLAP repair by time, sex, age, and the type of health care institution.

resultsFrom 2008 to 2017, 27,850 isolated SLAP repairs were identified. Age-adjusted incidence rate of isolated SLAP repair increased by 692% from 1.07/100,000 in 2008 to 8.48/100,000 in 2012 (

conclusionIn Korea, the incidence of isolated SLAP repair increased dramatically until 2012; since then, it has declined. Although the decrease in isolated SLAP repair later in the study was evident in those aged ≥ 40 years, the incidence rate was still relatively high in patients aged ≥ 40 years.

Indexed as

AdolescentAdultAgedAged, 80 and overChildCross-Sectional StudiesDatabases, FactualFemaleHumansIncidenceMaleMiddle AgedRepublic of KoreaShoulder InjuriesYoung AdultEpidemiologySuperior Labral Tear from Anterior to PosteriorSurgeryTrends

Identifiers

PMID32864905
PMCPMC7458849
OpenAlexW3046997387

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.