Evidence map›Paper›PMID 31759481›Full record

ArticleKidney international2019

Epidemiology, molecular, and genetic methodologies to evaluate causes of CKDu around the world: report of the Working Group from the ISN International Consortium of Collaborators on CKDu.

Shuchi Anand, Ben Caplin, Marvin Gonzalez-Quiroz, Stephen L Schensul, Vivek Bhalla, Xavier Parada, Nishantha Nanayakkara, Andrew Fire, Adeera Levin, David J Friedman and 1 more

Abstract readEditorial
In one paragraph

Article in Kidney international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

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

  1. Pooled it
  2. CKDPediatric nephrology (Berlin, Germany) · 2026
    Article
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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

11 authors.

Shuchi AnandSchool of Medicine, Stanford University, Stanford, California, USA. Electronic address: sanand2@stanford.edu.
Ben CaplinUniversity College London, London, UK.
Marvin Gonzalez-QuirozUniversity College London, London, UK; National Autonomous University of Nicaragua, Leon, Nicaragua.
Stephen L SchensulSchool of Medicine, University of Connecticut, Farmington, Connecticut, USA.
Vivek BhallaSchool of Medicine, Stanford University, Stanford, California, USA.
Xavier ParadaMount Sinai Medical Center, New York, New York, USA.
Nishantha NanayakkaraKandy Teaching Hospital and Center for Research and Training on Kidney Diseases, University of Peradeniya, Kandy, Sri Lanka.
Andrew FireSchool of Medicine, Stanford University, Stanford, California, USA.
Adeera LevinUniversity of British Columbia, British Columbia, Canada.
David J FriedmanBeth Israel Deaconess Medical Center, Harvard Medical School, Cambridge, Massachusetts, USA. Electronic address: dfriedma@bidmc.harvard.edu.
International Society of Nephrology’s International Consortium of Collaborators on Chronic Kidney Disease of Unknown Etiology (i3C)

Funding

Investigation into the Epidemic of Unexplained Kidney Disease in Nicaragua: Understanding the Acute Clinical Scenario and Natural History of Disease in Mesoamerican Nephropathy.K01TW010863 · FIC · TEXAS A&M UNIVERSITY HEALTH SCIENCE CTR · PI FISCHER, REBECCA SUSANN BRYSON · 2018 to 2022
$692k
FIC NIH HHS K01 TW010863Medical Research Council MR/P02386X/1
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Ethics, ResearchHumansMolecular Diagnostic TechniquesRenal Insufficiency, Chronicchronic kidney diseaseepidemiologyethicsglobal healthinterstitial nephritismolecular diagnostic techniques

Identifiers

PMID31759481
PMCPMC13499710

What OpenQuestion holds

Textmetadata
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.