Evidence map›Paper›PMID 32475840›Full record

ArticleBMJ open diabetes research & care2020

Correlation between markers of renal function and sight-threatening diabetic retinopathy in type 2 diabetes: a longitudinal study in an Indian clinic population.

Ramachandran Rajalakshmi, Coimbatore Subramanian Shanthi Rani, Ulagamathesan Venkatesan, Ranjit Unnikrishnan, Ranjit Mohan Anjana, Saravanan Jeba Rani, Ganesan UmaSankari, Sobha Sivaprasad, Rajiv Raman, Viswanathan Mohan

Open access · goldAbstract read
In one paragraph

Article in BMJ open diabetes research & care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 3 pooled it
3.0field-weighted citation impact, top 7% 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

20 citing papers in PubMed, 3 syntheses or guidelines pooled it, 40 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Observational
  13. Observational
  14. Review
  15. Article
  16. Article
  17. Review
  18. Observational
  19. Observational
  20. Observational
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 at 3 institutions in 2 countries.

Ramachandran RajalakshmiOphthalmology, Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, Chennai, Tamil Nadu, India.ORCID 0000-0002-7063-6026
Coimbatore Subramanian Shanthi RaniEpidemiology, Madras Diabetes Research Foundation, Chennai, Tamil Nadu, India.
Ulagamathesan VenkatesanBiostatistics, Madras Diabetes Research Foundation, Chennai, Tamil Nadu, India.
Ranjit UnnikrishnanDiabetology, Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, Chennai, Tamil Nadu, India.
Ranjit Mohan AnjanaDiabetology, Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, Chennai, Tamil Nadu, India.ORCID 0000-0002-4843-1374
Saravanan Jeba RaniData Management, Madras Diabetes Research Foundation, Chennai, Tamil Nadu, India.
Ganesan UmaSankariEpidemiology, Madras Diabetes Research Foundation, Chennai, Tamil Nadu, India.
Sobha SivaprasadUniversity College London, London, UK.
Rajiv RamanVitreo-Retina Services, Vision Research Foundation, Chennai, Tamil Nadu, India.
Viswanathan MohanDiabetology, Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, Chennai, Tamil Nadu, India drmohans@diabetes.ind.in.ORCID 0000-0001-5038-6210
Madras Diabetes Research Foundation · INMoorfields Eye Hospital NHS Foundation Trust · GBSankara Nethralaya · IN

Funding

Medical Research Council MR/P027881/1
6 · The paper itself

Abstract

introductionPrevious epidemiological studies have reported on the prevalence of diabetic kidney disease (DKD) and diabetic retinopathy (DR) from India. The aim of this study is to evaluate the effect of DKD on the development of new-onset DR and sight-threatening diabetic retinopathy (STDR) in Asian Indians with type 2 diabetes (T2D). RESEARCH DESIGN AND

methodsThe study was done on anonymized electronic medical record data of people with T2D who had undergone screening for DR and renal work-up as part of routine follow-up at a tertiary care diabetes center in Chennai, South India. The baseline data retrieved included clinical and biochemical parameters including renal profiles (serum creatinine, estimated glomerular filtration rate (eGFR) and albuminuria). Grading of DR was performed using the modified Early Treatment Diabetic Retinopathy Study grading system. STDR was defined as the presence of proliferative diabetic retinopathy (PDR) and/or diabetic macular edema. DKD was defined by the presence of albuminuria (≥30 µg/mg) and/or reduction in eGFR (<60 mL/min/1.73 m

resultsData of 19 909 individuals with T2D (mean age 59.6±10.2 years, mean duration of diabetes 11.1±12.1 years, 66.1% male) were analyzed. At baseline, DR was present in 7818 individuals (39.3%), of whom 2249 (11.3%) had STDR. During the mean follow-up period of 3.9±1.9 years, 2140 (17.7%) developed new-onset DR and 980 individuals with non-proliferative DR (NPDR) at baseline progressed to STDR. Higher serum creatinine (HR 1.5, 95% CI 1.3 to 1.7; p<0.0001), eGFR <30 mL/min/1.73 m

conclusionsDKD at baseline is a risk factor for progression to STDR. Physicians should promptly refer their patients with DKD to ophthalmologists for timely detection and management of STDR.

Indexed as

Diabetes Mellitus, Type 2Diabetic RetinopathyMacular EdemaAgedFemaleHumansIndiaLongitudinal StudiesMaleMiddle AgedAsian Indianskidneyretinopathytype 2 diabetes

Identifiers

PMID32475840
PMCPMC7265015
OpenAlexW3032657122

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.