Evidence map›Paper›PMID 26215865›Full record

ReviewSeminars in nephrology2015

Matching the Genotype in Resolution: Innovative Ways of Phenotype Capture.

Margaret T Hicken, Debbie S Gipson

Abstract readReview
In one paragraph

Review in Seminars in nephrology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

2 authors at 2 institutions in 2 countries.

Margaret T HickenSurvey Research Center, Institute for Social Research and Division of Nephrology, Department of Internal Medicine, University of Michigan School of Medicine, University of Michigan, Ann Arbor, MI.
Debbie S GipsonDepartment of Pediatrics, University of Michigan School of Medicine, University of Michigan, Ann Arbor, MI.
Institute for Social Research · NOUniversity of Michigan · US

Funding

Training Program in Clinical & Translationa Research in Human Glomerular DiseaseU54DK083912 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HOLZMAN, LAWRENCE B. · 2009 to 2023
$20.3M
The Interactive Roles of Neighborhood Characteristics and Genetic Risk in Racial Inequalities in CKDK01DK106322 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HICKEN, MARGARET TAKAKO · 2016 to 2020
$819k
NIDDK NIH HHS K01 DK106322
6 · The paper itself

Abstract

Social and spatial context are important determinants of morbidity and mortality. However, there is little clarity about the role of context for kidney disease specifically, particularly before the end stage. Meanwhile, research clarifying the clinical, cellular, molecular, and genetic causes of kidney disease is accelerating considerably. We postulate that without contextual information, even the most detailed biomedical information cannot fully capture the factors that ultimately drive the development and progression of kidney disease. The Nephrotic Syndrome Study Network is integrating detailed, state-of-the-art information on a social and spatial context to enable the exploration of the associations between the social environment and kidney disease. Here, we discuss the extant literature on social context and kidney disease, present information on sources of contextual information, and provide recommended further reading to facilitate future research on the contribution of the social context to kidney disease.

Indexed as

Health Status DisparitiesNephrotic SyndromeDisease ProgressionGenotypeGlobal HealthHumansMorbidityPhenotypeSocioeconomic Factorshealth status disparitiesKidney diseasessocial determinants of healthsocial environment

Identifiers

PMID26215865
PMCPMC13435208
OpenAlexW2154984669

What OpenQuestion holds

Textmetadata
LicenceTDM
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.