Evidence map›Paper›PMID 32286437›Full record

ArticleScientific reports2020

Age-adjusted global glomerulosclerosis predicts renal progression more accurately in patients with IgA nephropathy.

Chan-Sung Chung, Ji-Hye Lee, Si-Hyong Jang, Nam-Jun Cho, Wook-Joon Kim, Nam Hun Heo, Hyo-Wook Gil, Eun Young Lee, Jong-Seok Moon, Samel Park

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

10 authors.

Chan-Sung ChungDepartment of Internal Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, Korea.
Ji-Hye LeeDepartment of Pathology, College of Medicine, Soonchunhyang University, Cheonan, Korea.
Si-Hyong JangDepartment of Pathology, College of Medicine, Soonchunhyang University, Cheonan, Korea.
Nam-Jun ChoDepartment of Internal Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, Korea.
Wook-Joon KimDepartment of Internal Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, Korea.
Nam Hun HeoDepartment of Biostatistics, Soonchunhyang University Cheonan Hospital, Cheonan, Korea.
Hyo-Wook GilDepartment of Internal Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, Korea.
Eun Young LeeDepartment of Internal Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, Korea.
Jong-Seok MoonSoonchunhyang Institute of Medi-bio Science, Soonchunhyang University, Cheonan, Korea.
Samel ParkDepartment of Internal Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, Korea. samelpark17@schmc.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Oxford classification was developed to predict the outcome of IgA nephropathy (IgAN). Based on the upper reference limit (95

Indexed as

Age FactorsAdultAgedDisease ProgressionFemaleGlomerulonephritis, IGAHumansKidney GlomerulusMaleMiddle AgedPrognosisRetrospective StudiesRisk Factors

Identifiers

PMID32286437
PMCPMC7156438

What OpenQuestion holds

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Registered trials

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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.