Evidence map›Paper›PMID 36159292›Full record

ArticleFrontiers in public health2022

Factors associated with renal function state transitions: A population-based community survey in Taiwan.

Ming-Hsien Tsai, Ming-Yen Lin, Chen-Yang Hsu, Amy Ming-Fang Yen, Tony Hsiu-Hsi Chen, Sherry Yueh-Hsia Chiu, Shang-Jyh Hwang

Abstract read
In one paragraph

Article in Frontiers in public health, 2022. 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
–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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Ming-Hsien TsaiDivision of Nephrology, Department of Internal Medicine, Shin-Kong Wu Ho-Su Memorial Hospital, Taipei, Taiwan.
Ming-Yen LinMaster of Public Health Degree Program, College of Public Health, National Taiwan University, Taipei, Taiwan.
Chen-Yang HsuDivision of Biostatistics, Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan.
Amy Ming-Fang YenMaster of Public Health Degree Program, College of Public Health, National Taiwan University, Taipei, Taiwan.
Tony Hsiu-Hsi ChenDivision of Biostatistics, Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan.
Sherry Yueh-Hsia ChiuDepartment of Health Care Management, College of Management, Chang Gung University, Taoyuan, Taiwan.
Shang-Jyh HwangDepartment of Renal Care, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Understanding renal function state transition risk and associated factors in community residences is vital for appropriate preventive and care actions. We aim to investigate factors affecting renal function state transitions through 10-year longitudinal community screening surveys. Methods: The prospective cohort study included participants who attended the screening program ≥2 times from 2001 to 2009 and were divided into two cohorts: those with baseline estimated glomerular filtration rate (eGFR) ≥60 ( Results: Among the followed-up participants, 3,018 (6.5%) in the cohort of baseline eGFR ≥60 mL/min/1.73 m Conclusion: The study developed the state transition functions for community participants with varying renal function levels. Further actions to develop precision screening plans and services that incorporate personal risk factors and state transition risks are necessary.

Indexed as

Renal Insufficiency, ChronicBlood GlucoseCholesterolHemoglobinsHumansKidneyLipoproteins, HDLLipoproteins, LDLMaleProspective StudiesSurveys and QuestionnairesTaiwanTriglyceridesUric AcidBlood GlucoseCholesterolHemoglobinsLipoproteins, HDLLipoproteins, LDLTriglyceridesUric Acidchronic kidney diseasedisease stateillness-death modelrisk factorrisk prediction

Identifiers

PMID36159292
PMCPMC9493090

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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.