Evidence map›Paper›PMID 28049448›Full record

ArticleBMC nephrology2017

International Collaboration for the Epidemiology of eGFR in Low and Middle Income Populations - Rationale and core protocol for the Disadvantaged Populations eGFR Epidemiology Study (DEGREE).

Ben Caplin, Kristina Jakobsson, Jason Glaser, Dorothea Nitsch, Vivekanand Jha, Ajay Singh, Ricardo Correa-Rotter, Neil Pearce

Abstract read
In one paragraph

Article in BMC nephrology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed.

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  16. Determinants of Hypertension amongst Rice Farmers in West Java, Indonesia.International journal of environmental research and public health · 2022
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  17. Review
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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

8 authors.

Ben CaplinCentre for Nephrology, UCL Medical School Royal Free, London, NW3 2PF, UK. b.caplin@ucl.ac.uk.ORCID 0000-0001-9544-164X
Kristina JakobssonDivision of Occupational and Environmental Medicine, Sahlgrenska Academy, Gothenburg University, Gothenburg, Sweden.
Jason GlaserLa Isla Foundation, Ada, Michigan, USA.
Dorothea NitschDepartment of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.
Vivekanand JhaGeorge Institute for Global Health India, New Delhi, India.
Ajay SinghDepartment of Global and Continuing Education, Harvard Medical School, Boston, USA.
Ricardo Correa-RotterDepartment of Nephrology and Mineral Metabolism at the Instituto Nacional de Ciencias Medicas y Nutricion Salvador Zubirán, Mexico City, Mexico.
Neil PearceDepartment of Non-Communicable Disease Epidemiology and Centre for Global NCDs, London School of Hygiene and Tropical Medicine, London, UK.

Funding

Wellcome TrustWellcome Trust 097834/Z/11/B
6 · The paper itself

Abstract

backgroundThere is an increasing recognition of epidemics of primarily tubular-interstitial chronic kidney disease (CKD) clustering in agricultural communities in low- and middle-income countries (LMICs). Although it is currently unclear whether there is a unified underlying aetiology, these conditions have been collectively termed CKD of undetermined cause (CKDu). CKDu is estimated to have led to the premature deaths of tens to hundreds of thousands of young men and women over the last 2 decades. Thus, there is an urgent need to understand the aetiology and pathophysiology of these condition (s). International comparisons have provided the first steps in understanding many chronic diseases, but such comparisons rely on the availability of standardised tools to estimate disease prevalence. This is a particular problem with CKD, since the disease is asymptomatic until the late stages, and the biases inherent in the methods used to estimate the glomerular filtration rate (GFR) in population studies are highly variable across populations.

methodWe therefore propose a simple standardised protocol to estimate the distribution of GFR in LMIC populations - The Disadvantaged Populations eGFR Epidemiology (DEGREE) Study. This involves the quantification of renal function in a representative adult population-based sample and a requirement for standardisation of serum creatinine measurements, along with storage of samples for future measurements of cystatin C and ascertainment of estimates of body composition, in order to obtain valid comparisons of estimated GFR (eGFR) within and between populations. DISCUSSION: The methodology we present is potentially applicable anywhere, but our particular focus is on disadvantaged populations in LMICs, since these appear to be most susceptible to CKDu. Although the protocol could also be used in specific groups (e.g. occupational groups, thought to be at excess risk of CKDu) the primary aim of the DEGREE project is characterise the population distribution of eGFR in multiple regions so that international comparisons can be performed. It is only with a standardised approach that it will be possible to estimate the scale of, and variation in, impaired kidney function between affected areas. These data should then provide insights into important social, demographic and environmental risk factors for this increasingly recognised disease.

Indexed as

Developing CountriesGlomerular Filtration RateCreatinineHumansMass SpectrometryPovertyPrevalenceRenal Insufficiency, ChronicCreatinineChronic kidney disease of undetermined causeChronic kidney disease prevalenceEstimated glomerular filtration rateLow- and middle-income countriesMesoamerican nephropathy

Identifiers

PMID28049448
PMCPMC5210224

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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.