Evidence map›Paper›PMID 31958295›Full record

ArticleBMJ open diabetes research & care2020

Association of unhealthy dietary behaviors with renal function decline in patients with diabetes.

Cheng-Wei Lin, I-Wen Chen, Ying-Tzu Lin, Hsin-Yun Chen, Shih-Yuan Hung

Open access · goldAbstract read
In one paragraph

Article in BMJ open diabetes research & care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 37% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

5 authors at 1 institution in 1 country.

Cheng-Wei Lin *Division of Endocrinology and Metabolism, Chang Gung Memorial Hospital Linkou Main Branch, Taoyuan, Taiwan.ORCID http://orcid.org/0000-0001-8922-7030
I-Wen Chen *Division of Endocrinology and Metabolism, Chang Gung Memorial Hospital Linkou Main Branch, Taoyuan, Taiwan.
Ying-Tzu LinDepartment of Medical Nutrition Therapy, Chang Gung Memorial Hospital Linkou Main Branch, Taoyuan, Taiwan.
Hsin-Yun ChenDepartment of Medical Nutrition Therapy, Chang Gung Memorial Hospital Linkou Main Branch, Taoyuan, Taiwan.
Shih-Yuan HungDivision of Endocrinology and Metabolism, Chang Gung Memorial Hospital Linkou Main Branch, Taoyuan, Taiwan 9002053@gmail.com.ORCID http://orcid.org/0000-0002-9243-6586
Chang Gung Memorial Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveBalanced nutrition is important for patients with diabetes, and nutrition might well influence diabetes-related complications, although there is limited evidence for this supposition at present. Consequently, we investigate the association between dietary behaviors and renal function decline among patients with diabetes. RESEARCH DESIGN AND

methodsFrom 2011 to 2013, a total of 2797 patients with type 2 diabetes participated in the D

resultsStable mean glycated hemoglobin (A

conclusionsOur study suggests that excessive pickled foods deteriorate renal function more than other unhealthy dietary behaviors in patients with diabetes.

Indexed as

Feeding BehaviorBiomarkersBlood GlucoseDiabetes Mellitus, Type 2Diabetic NephropathiesDietDisease ProgressionFemaleFollow-Up StudiesGlycated HemoglobinHumansMaleMiddle AgedNutrition DisordersPrognosisRenal Insufficiency, ChronicBiomarkersBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humandatabase(s)dietary behaviorrenal function

Identifiers

PMID31958295
PMCPMC6954781
OpenAlexW3000015730

What OpenQuestion holds

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LicenceCC BY-NC
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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.