Evidence map›Paper›PMID 31619722›Full record

ArticleScientific reports2019

Low erythropoietin levels predict faster renal function decline in diabetic patients with anemia: a prospective cohort study.

Yohei Fujita, Yohei Doi, Takayuki Hamano, Masahiro Hatazaki, Yutaka Umayahara, Yoshitaka Isaka, Yoshiharu Tsubakihara

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

21 citing papers in PubMed, 36 citations in OpenAlex.

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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 4 institutions in 1 country.

Yohei FujitaDepartment of Diabetes and Metabolism, Osaka General Medical Center, Osaka, Japan.
Yohei DoiDepartment of Nephrology, Osaka University Graduate School of Medicine, Suita, Japan.
Takayuki HamanoDepartment of Inter-Organ Communication Research in Kidney Disease, Osaka University Graduate School of Medicine, Suita, Japan. hamatea@kid.med.osaka-u.ac.jp.
Masahiro HatazakiDepartment of Diabetes and Metabolism, Osaka General Medical Center, Osaka, Japan.
Yutaka UmayaharaDepartment of Diabetes and Metabolism, Osaka General Medical Center, Osaka, Japan.
Yoshitaka IsakaDepartment of Nephrology, Osaka University Graduate School of Medicine, Suita, Japan.
Yoshiharu TsubakiharaGraduate School of Health Care Sciences, Jikei Institute, Yodogawa-ku, Osaka, Japan.
Osaka University · JPOsaka City General Hospital · JPGraduate School of Health Care Sciences, Jikei Institute · JPOsaka Prefectural Medical Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Elevated erythropoietin (EPO) levels have been reported to predict poor survival in various populations including diabetic patients. However, data regarding its impact on renal outcomes are scarce. We conducted a single-center, prospective cohort study of 339 type 2 diabetic patients with anemia. The primary outcome was the estimated glomerular filtration rate (eGFR) slope for two years. We performed multiple linear regression and restricted cubic spline analyses to assess the association of serum EPO levels with the renal outcome. Chronic kidney disease (CKD) was defined as eGFR <60 mL/min/1.73 m2 or urine albumin-to-creatinine ratio >30 mg/g creatinine. Median baseline EPO and eGFR level were 14.4 IU/L and 53 mL/min/1.73 m

Indexed as

AgedAlbuminuriaAnemiaCreatinineDiabetes Mellitus, Type 2Diabetic NephropathiesErythropoietinFemaleGlomerular Filtration RateHemoglobinsHumansIronKidneyKidney Function TestsLinear ModelsMaleCreatinineEPO protein, humanErythropoietinHemoglobinsIron

Identifiers

PMID31619722
PMCPMC6796000
OpenAlexW2980954226

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.