Evidence map›Paper›PMID 32474641›Full record

ArticleSurgery today2020

Impact of hospital size on the outcomes of appendectomy in children: an analysis of a comprehensive nationwide pediatric dataset.

Jeik Byun, Jin-Young Min, Hee-Beom Yang, Dayoung Ko, Hyun-Young Kim, Kyoung-Bok Min, Sung Eun Jung

Abstract read
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Article in Surgery today, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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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

7 authors.

Jeik ByunDepartment of Pediatric Surgery, Seoul National University Children's Hospital, Seoul, Korea.
Jin-Young MinInstitute of Health and Environment, Graduate School of Public Health, Seoul National University, Seoul, Korea.
Hee-Beom YangDepartment of Surgery, Seoul National University Bundang Hospital, Seongnam, Korea.
Dayoung KoDepartment of Pediatric Surgery, Seoul National University Children's Hospital, Seoul, Korea.
Hyun-Young KimDepartment of Pediatric Surgery, College of Medicine, Seoul National University, 101, Daehak-ro, Jongno-gu, Seoul, 03080, Korea. spkhy02@snu.ac.kr.ORCID http://orcid.org/0000-0003-0106-9969
Kyoung-Bok MinDepartment of Preventive Medicine, College of Medicine, Seoul National University, 101, Daehak-ro, Jongno-gu, Seoul, 03080, Korea. minkb@snu.ac.kr.
Sung Eun JungDepartment of Pediatric Surgery, College of Medicine, Seoul National University, 101, Daehak-ro, Jongno-gu, Seoul, 03080, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposesThe purpose of this study was to investigate the outcomes after appendectomy in children according to hospital size.

methodsThe records of 11,565 patients with the diagnosis-related group code for appendectomy were extracted from HIRA-Pediatric Patient Sample from 2012 to 2016. The number of hospital visits and the length of stay in hospital within 30 days after appendectomy were analyzed.

resultsPatients who were treated at large-sized hospitals were more likely to be younger, more likely to reside in metropolitan areas, and tended to receive laparoscopic surgery. The number of hospital visits within 30 days in patients managed by medium- and large-sized hospitals decreased in comparison to small-sized hospitals. The length of hospital stay in large-sized hospitals was decreased in comparison to small- and medium-sized hospitals. A subgroup analysis revealed that complicated appendectomy did not have a significant impact on the difference in the length of hospital stay between hospital sizes.

conclusionThe number of hospital visits and the length of hospital stay was higher in small-sized hospitals in comparison to large-sized hospitals. Appendectomy performed in the larger hospital showed better outcomes in pediatric patients. We recommend that pediatric surgical procedures be performed in large hospitals, and that proper incentives be given for procedures to be performed by pediatric specialists.

Indexed as

AppendectomyDatasets as TopicOutcome Assessment, Health CareAdolescentAge FactorsAppendicitisChildChild, PreschoolData AnalysisFemaleHealth Facility SizeHospitalsHumansLength of StayMaleNational Health ProgramsAppendectomyAppendicitisChildrenHospital sizePediatric

Identifiers

PMID32474641

What OpenQuestion holds

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Read underepoch 390

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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.