Evidence map›Paper›PMID 32534684›Full record

ArticleIndian heart journal

Quantitative measure of asymptomatic cardiovascular disease risk in Type 2 diabetes: Evidence from Indian outpatient setting.

Samit Ghosal, Binayak Sinha, Jignesh Ved, Mansij Biswas

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Indian heart journal. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. QRISK 3Indian journal of endocrinology and metabolism
    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

4 authors at 3 institutions in 1 country.

Samit GhosalNightingale Hospital, Kolkata, India. Electronic address: ramdasghosal@gmail.com.
Binayak SinhaAMRI Hospitals, Kolkata, India.
Jignesh VedBoehringer Ingelheim, Mumbai, India.
Mansij BiswasBoehringer Ingelheim, Mumbai, India.
Boehringer Ingelheim (India) · INAMRI Hospitals · INNightingale Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe cardiovascular (CV) risk of patients with Type 2 diabetes (T2D) of Indo-Asian descent has never been objectively assessed, although it is documented that they have a higher prevalence of CV disease (CVD).

aimsTo identify groups of Indian patients with asymptomatic T2D who are at high risk of CVD as per the QRISK calculator.

methodAfter an adequate power calculation, a nation-wide study of patients with asymptomatic T2D was conducted. The QRISK3 scores of these patients were used to derive a 10-year risk of CV events. High CVD risk was defined as ≥20% risk of CV event in 10 years.

resultsFor a total of 1538 patients across 154 outpatient departments, the QRISK3 scores were collated. Median 10-year CVD risk was 22.2%. Mean 10-year CVD risk was 28.4% (standard deviation 22.1%), representing a 5.7-fold increase vs. controls (i.e., matched healthy adults). Absolute CVD risk increased linearly with age. Over 50% of T2D males aged above 45 years had a high (>20%) CVD risk. Women aged more than 55 years had a high risk of CVD. More than 50% of patients with a T2D duration of more than 5 years had a high risk of CVD as per the QRISK3 calculator.

Indexed as

Asymptomatic DiseasesOutpatientsAdultAgedAged, 80 and overCardiovascular DiseasesCross-Sectional StudiesDiabetes Mellitus, Type 2FemaleFollow-Up StudiesHumansIndiaMaleMiddle AgedPrevalenceRisk AssessmentAsymptomaticCV riskIndian patientsQRISK3Type 2 diabetes

Identifiers

PMID32534684
PMCPMC7296234
OpenAlexW3016164875

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.