Evidence map›Paper›PMID 31228953›Full record

ArticleSystematic reviews2019

Accurate GFR in obesity-protocol for a systematic review.

Sriram Sriperumbuduri, Robert Dent, Janine Malcolm, Swapnil Hiremath, Ran Klein, Christine A White, Pierre Antoine Brown, Ayub Akbari

Open access · goldAbstract read
In one paragraph

Article in Systematic reviews, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Observational
  3. Review
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 at 3 institutions in 1 country.

Sriram SriperumbuduriDepartment of Medicine, Division of Nephrology, The Ottawa Hospital, Ottawa, Canada.
Robert DentDepartment of Medicine, Division of Endocrinology, University of Ottawa, Ottawa, Canada.
Janine MalcolmKidney Research Centre, Division of Nephrology, Department of Medicine, The Ottawa Hospital, University of Ottawa, Ottawa, ON, K1H 7W9, Canada.
Swapnil HiremathDepartment of Medicine, Division of Nephrology, The Ottawa Hospital, Ottawa, Canada.
Ran KleinDepartment of Medicine, Division of Nuclear Medicine, University of Ottawa, Ottawa, Canada.
Christine A WhiteDepartment of Medicine, Division of Nephrology, Queen's University, Kingston, Canada.
Pierre Antoine BrownDepartment of Medicine, Division of Nephrology, The Ottawa Hospital, Ottawa, Canada.
Ayub AkbariDepartment of Medicine, Division of Nephrology, The Ottawa Hospital, Ottawa, Canada. aakbari@toh.ca.
University of Ottawa · CAOttawa Hospital · CAQueen's University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObesity is increasing globally. Chronic kidney disease (CKD) is strongly associated with obesity. Kidney function is commonly estimated with equations using creatinine (such as CKD-EPI equation) which is a product of muscle metabolism. Decisions about categorizing CKD, planning modality of renal replacement therapies, and adjusting dosages of medications excreted by the kidneys are done using these equations. However, it is not well appreciated that creatinine-based equations may not accurately estimate kidney function in obese individuals. We plan a systematic review of diagnostic studies which will compare estimating equations to actual measured kidney function.

methodsWe will systematically search electronic bibliographic databases including MEDLINE, EMBASE, and the Cochrane Library with no restrictions on language or specific dates. The search terms will be adapted for the different databases using a combination of Medical Subject Heading and relevant keywords contained in titles and abstracts. Our preliminary search strategy using Cochrane, MEDLINE, and EMBASE databases have identified 190, 1246, and 1660 citations, respectively. For all studies selected, we will extract information on general study characteristics, study participant (age, sex, ethnicity, weight, height, BMI, BSA), type and protocol of reference standard utilized, the index test studied, the methodology of measurement of index test, categories of GFR, the proportion of eGFR within 10, 20, 30, 40, and 50% of measured GFR, and bias between eGFR and measured GFR. If the quality of methods and risk of bias are adequate, we will perform a meta-analysis. We will assess the heterogeneity using the χ DISCUSSION: This systematic review might help to inform clinicians on the best equation to use in patients with obesity and CKD for staging of CKD and for medication dosing. If no equation is deemed suitable, this review will form a basis for future studies of GFR in obese individuals. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42018104345.

Indexed as

Glomerular Filtration RateHumansObesityRenal Insufficiency, ChronicReproducibility of ResultsSystematic Reviews as TopicCKDeGFRMeta-analysisObesitySystematic review

Identifiers

PMID31228953
PMCPMC6588895
OpenAlexW2949812754

What OpenQuestion holds

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LicenceCC BY
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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.