Evidence map›Paper›PMID 36747222›Full record

ArticleBMC public health2023

Use of spatial panel-data models to investigate factors related to incidence of end-stage renal disease: a nationwide longitudinal study in Taiwan.

Chien-Chou Su, Kuo-Jung Lee, Chi-Tai Yen, Lu-Hsuan Wu, Chien-Huei Huang, Meng-Zhan Lu, Ching-Lan Cheng

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2023. 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
1.1field-weighted citation impact, top 25% 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, 4 citations in OpenAlex.

  1. Exposure-Response to High PMJournal of the American Heart Association · 2025
    Article
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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

7 authors at 3 institutions in 1 country.

Chien-Chou SuClinical Innovation and Research Center, National Cheng Kung University Hospital, Tainan City, Taiwan.
Kuo-Jung Lee *Department of Statistics, Institute of Data Science, National Cheng Kung University, No.1, University Road, 701, Tainan City, Taiwan.
Chi-Tai YenDepartment of Nephrology , Tainan Hospital, Ministry of Health and Welfare , Tainan City, Taiwan.
Lu-Hsuan WuDepartment of Pharmacy, National Cheng Kung University Hospital, Tainan City, Taiwan.
Chien-Huei HuangDepartment of Pharmacy, National Cheng Kung University Hospital, Tainan City, Taiwan.
Meng-Zhan LuSchool of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, National Cheng Kung University, No. 1 University Road, 701, Tainan city, Taiwan.
Ching-Lan ChengDepartment of Pharmacy, National Cheng Kung University Hospital, Tainan City, Taiwan. clcheng@mail.ncku.edu.tw.
National Cheng Kung University · TWNational Cheng Kung University Hospital · TWChest Hospital, Ministry of Health and Welfare · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe assumptions of conventional spatial models cannot estimate the responses across space and over time. Here we propose new spatial panel data models to investigate the association between the risk factors and incidence of end-stage renal disease (ESRD).

methodsA longitudinal (panel data) study was conducted using data from the National Health Insurance Database in Taiwan. We developed an algorithm to identify the patient's residence and estimate the ESRD rate in each township. Corresponding covariates, including patient comorbidities, history of medication use, and socio-environmental factors, were collected. Local Indicators of Spatial Association were used to describe local spatial clustering around an individual location. Moreover, a spatial panel data model was proposed to investigate the association between ESRD incidence and risk factors.

resultsIn total, 73,995 patients with ESRD were included in this study. The western region had a higher proportion of high incidence rates than the eastern region. The proportion of high incidence rates in the eastern areas increased over the years. We found that most "social environmental factors," except average income and air pollution (PM 2.5 and PM10), had a significant influence on the incidence rate of ESRD when considering spatial dependences of response and explanatory variables. Receiving non-steroidal anti-inflammatory drugs and aminoglycosides within 90 days prior to ESRD had a significant positive effect on the ESRD incidence rate.

conclusionFuture comprehensive studies on townships located in higher-risk clusters of ESRD will help in designing healthcare policies for suitable action.

Indexed as

Kidney Failure, ChronicComorbidityHumansIncidenceLongitudinal StudiesRisk FactorsTaiwanAminoglycosideEnd-stage renal diseaseNSAIDsRisk factorSpatial analysisTaiwan

Identifiers

PMID36747222
PMCPMC9901115
OpenAlexW4319298467

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.