Evidence map›Paper›PMID 33310798›Full record

ArticleBMJ open2020

Protocol on a multicentre statistical and economic modelling study of risk-based stratified and personalised screening for diabetes and its complications in India (SMART India).

Sobha Sivaprasad, Rajiv Raman, Ramachandran Rajalakshmi, Viswanathan Mohan, Mohan Deepa, Taraprasad Das, Kim Ramasamy, A Toby Prevost, Raphael Wittenberg, Gopalakrishnan Netuveli and 7 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2020. 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
1.4field-weighted citation impact, top 17% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
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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

17 authors at 10 institutions in 3 countries.

Sobha SivaprasadNIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust, London, UK s.sivaprasad@ucl.ac.uk.ORCID 0000-0001-8952-0659
Rajiv RamanRetina Department, Vision Research Foundation, Sankara Nethralaya, Chennai, India.ORCID 0000-0001-5842-0233
Ramachandran RajalakshmiDeaprtment of Diabetes, Madras Diabetes Research Foundation, Dr Mohan's Diabetes Specialities Centre, Chennai, India.
Viswanathan MohanDeaprtment of Diabetes, Madras Diabetes Research Foundation, Dr Mohan's Diabetes Specialities Centre, Chennai, India.
Mohan DeepaDeaprtment of Diabetes, Madras Diabetes Research Foundation, Dr Mohan's Diabetes Specialities Centre, Chennai, India.
Taraprasad DasRetina Department, Hyderabad Eye Research Foundation, LV Prasad Eye Institute, Hyderabad, India.
Kim RamasamyRetina Department, Aravind Medical Research Foundation, Madurai, India.
A Toby PrevostNightingale-Saunders Clinical Trials and Epidemiology Unit, King's College London, London, UK.ORCID 0000-0003-1723-0796
Raphael WittenbergCentre for Health Service Economics and Organisation, University of Oxford, Oxford, UK.
Gopalakrishnan NetuveliInstitute for Connected Communities, University of East London, London, UK.
Gopal LingamDepartment of Ophthalmology, National University Hospital, Singapore.
Wasim HanifDepartment of Diabetes, University Hospital, Birmingham, UK.
Radha RamakrishnanVision Sciences, UCL Institute of Ophthalmology, London, UK.
Jayashree RamuNIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust, London, UK.
Janani SuryaRetina Department, Vision Research Foundation, Sankara Nethralaya, Chennai, India.
Dolores ConroyVision Sciences, UCL Institute of Ophthalmology, London, UK.
SMART India Study Collaborators
Madras Diabetes Research Foundation · INMoorfields Eye Hospital NHS Foundation Trust · GBSankara Nethralaya · INUniversity College London · GBAravind Eye Hospital · INKing's College London · GBL V Prasad Eye Institute · INNational University Hospital · SGUniversity of East London · GBUniversity of Oxford · GB

Funding

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

Abstract

introductionThe aim of this study is to develop practical and affordable models to (a) diagnose people with diabetes and prediabetes and (b) identify those at risk of diabetes complications so that these models can be applied to the population in low-income and middle-income countries (LMIC) where laboratory tests are unaffordable. METHODS AND ANALYSIS: This statistical and economic modelling study will be done on at least 48 000 prospectively recruited participants aged 40 years or above through community screening across 20 predefined regions in India. Each participant will be tested for capillary random blood glucose (RBG) and complete a detailed health-related questionnaire. People with known diabetes and all participants with predefined levels of RBG will undergo further tests, including point-of-care (POC) glycated haemoglobin (HbA1c), POC lipid profile and POC urine test for microalbuminuria, retinal photography using non-mydriatic hand-held retinal camera, visual acuity assessment in both eyes and complete quality of life questionnaires. The primary aim of the study is to develop a model and assess its diagnostic performance to predict HbA1c diagnosed diabetes from simple tests that can be applied in resource-limited settings; secondary outcomes include RBG cut-off for definition of prediabetes, diagnostic accuracy of cost-effective risk stratification models for diabetic retinopathy and models for identifying those at risk of complications of diabetes. Diagnostic accuracy inter-tests agreement, statistical and economic modelling will be performed, accounting for clustering effects. ETHICS AND DISSEMINATION: The Indian Council of Medical Research/Health Ministry Screening Committee (HMSC/2018-0494 dated 17 December 2018 and institutional ethics committees of all the participating institutions approved the study. Results will be published in peer-reviewed journals and will be presented at national and international conferences. TRIAL REGISTRATION NUMBER: ISRCTN57962668 V1.0 24/09/2018.

Indexed as

Diabetic RetinopathyPrediabetic StateAdultGlycated HemoglobinHumansIndiaMulticenter Studies as TopicQuality of LifeGlycated Hemoglobindiabetic retinopathyepidemiologygeneral diabeteshealth economicsmedical retinapublic health

Identifiers

PMID33310798
PMCPMC7735124
OpenAlexW3112779759

What OpenQuestion holds

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LicenceCC BY
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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.