Evidence map›Paper›PMID 28118757›Full record

ArticleRenal failure2017

Underestimated incidence of kidney disease in nonrenal outpatient.

Zeyuan Lu, Jianyong Yin, Guangyuan Zhang, Rui Wu, Qing Zhao, Niansong Wang, Chungen Yan, Feng Wang

Open access · goldAbstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Renal failure, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 28% 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, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. 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

8 authors at 5 institutions in 1 country.

Zeyuan Lua Department of Nephrology , Shanghai Jiao Tong University Affiliated Sixth People's Hospital , Shanghai , China.
Jianyong Yina Department of Nephrology , Shanghai Jiao Tong University Affiliated Sixth People's Hospital , Shanghai , China.
Guangyuan Zhangb Department of Urology, Zhongda Hospital , Southeast University , Nanjing , China.
Rui Wua Department of Nephrology , Shanghai Jiao Tong University Affiliated Sixth People's Hospital , Shanghai , China.
Qing Zhaoc Department of Cardiology , Shanghai Jiao Tong University Affiliated Sixth People?s Hospital , Shanghai , China.
Niansong Wanga Department of Nephrology , Shanghai Jiao Tong University Affiliated Sixth People's Hospital , Shanghai , China.
Chungen Yand Department of Internal Medicine , Medical School of Shaoxing Univerisity , Shaoxing , China.
Feng Wanga Department of Nephrology , Shanghai Jiao Tong University Affiliated Sixth People's Hospital , Shanghai , China.
Shanghai Sixth People's Hospital · CNShanghai Jiao Tong University · CNShanghai Eighth People Hospital · CNShaoxing University · CNZhongda Hospital Southeast University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsChronic kidney disease (CKD) has been regarded as a severe threaten to public health, a large percentage of CKD are secondary to other diseases. Serum creatinine is the most common marker of renal function, but it did not always reflect glomerular filtration rate (GFR) accurately. In order to investigate the prevalence of kidney disease in non-renal departments and to provide a basis for the prevention of kidney injury, the present study was conducted in several medical centers.

methodsA total of 17,462 outpatients were selected randomly from the departments of cardiology, endocrinology, and neurology in 16 hospitals and the incidence of kidney disease was screened. Estimated GFR (eGFR) was calculated by using MDRD-formula.

resultsThere are 5293 (30.1%) patients' eGFR above 90 mL/min/1.73m

conclusionsThis survey indicated kidney injury wildly existed in non-renal outpatients, and the incidence of CKD is underestimated.

Indexed as

Glomerular Filtration RateAgedAged, 80 and overBiomarkersChinaCreatinineDiabetes Mellitus, Type 2FemaleHumansHypertensionIncidenceMaleMiddle AgedOutpatientsPrevalenceRenal Insufficiency, ChronicBiomarkersCreatininechronic kidney diseasecoronary diseasediabetes mellitushypertensionKidney injury

Identifiers

PMID28118757
PMCPMC6014464
OpenAlexW2581340625

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.