Evidence map›Paper›PMID 29433528›Full record

ArticleInternational journal for equity in health2018

Effect of socioeconomic inequalities on cholecystectomy outcomes: a 10-year population-based analysis.

Ping Lu, Nan-Ping Yang, Nien-Tzu Chang, K Robert Lai, Kai-Biao Lin, Chien-Lung Chan

Open access · goldAbstract read
In one paragraph

Article in International journal for equity in health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 13% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Treatment of Acute Cholecystitis: Do Medicaid and Non-Medicaid Enrolled Patients Receive the Same Care?Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2020
    Article
  10. 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

6 authors at 4 institutions in 3 countries.

Ping LuSchool of Economics and Management, Xiamen University of Technology, Xiamen, 361024, China.
Nan-Ping YangDepartment of Surgery, Keelung Hospital, Ministry of Health and Welfare, Keelung, 20148, Taiwan.
Nien-Tzu ChangSchool of Nursing, College of Medicine, National Taiwan University, Taipei, 10051, Taiwan.
K Robert LaiDepartment of Computer Science and Engineering, Yuan Ze University, Taoyuan, 32003, Taiwan.
Kai-Biao LinSchool of Computer & Information Engineering, Xiamen University of Technology, Xiamen, 361024, China.
Chien-Lung ChanDepartment of Information Management, Yuan Ze University, Taoyuan, 32003, Taiwan. clchan@saturn.yzu.edu.tw.
Yuan Ze University · TWMinistry of Health and Welfare · TWNational Taiwan University · TWXiamen University of Technology · CN

Funding

Ministry of Science and Technology, Taiwan MOST-104-2218-E-155-004Ministry of Science and Technology, Taiwan MOST-105-2221-E-155-041-MY3Xiamen Overseas Students XRS201631401
6 · The paper itself

Abstract

backgroundAlthough numerous epidemiological studies on cholecystectomy have been conducted worldwide, only a few have considered the effect of socioeconomic inequalities on cholecystectomy outcomes. Specifically, few studies have focused on the low-income population (LIP).

methodsA nationwide prospective study based on the Taiwan National Health Insurance dataset was conducted during 2003-2012. The International Classification of ICD-9-CM procedure codes 51.2 and 51.21-51.24 were identified as the inclusion criteria for cholecystectomy. Temporal trends were analyzed using a joinpoint regression, and the hierarchical linear modeling (HLM) method was used as an analytical strategy to evaluate the group-level and individual-level factors. Interactions between age, gender and SES were also tested in HLM model.

resultsAnalyses were conducted on 225,558 patients. The incidence rates were 167.81 (95% CI: 159.78-175.83) per 100,000 individuals per year for the LIP and 123.24 (95% CI: 116.37-130.12) per 100,000 individuals per year for the general population (GP). After cholecystectomy, LIP patients showed higher rates of 30-day mortality, in-hospital complications, and readmission for complications, but a lower rate of routine discharge than GP patients. The hospital costs and length of stay for LIP patients were higher than those for GP patients. The multilevel analysis using HLM revealed that adverse socioeconomic status significantly negatively affects the outcomes of patients undergoing cholecystectomy. Additionally, male sex, advanced age, and high Charlson Comorbidity Index (CCI) scores were associated with higher rates of in-hospital complications and 30-day mortality. We also observed that the 30-day mortality rates for patients who underwent cholecystectomy in regional hospitals and district hospitals were significantly higher than those of patients receiving care in a medical center.

conclusionPatients with a disadvantaged finance status appeared to be more vulnerable to cholecystectomy surgery. This result suggested that further interventions in the health care system are necessary to reduce this disparity.

Indexed as

Socioeconomic FactorsAdolescentAdultAgedAge FactorsCholecystectomyDelivery of Health CareFemaleHospital CostsHumansLength of StayMaleMiddle AgedPovertyProspective StudiesSex FactorsAcute cholecystitisCholecystectomyGallbladder diseaseSocioeconomic status

Identifiers

PMID29433528
PMCPMC5809951
OpenAlexW2790738739

What OpenQuestion holds

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LicenceCC BY
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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.