Evidence map›Paper›PMID 33299546›Full record

ArticleF1000Research2020

Opportunistic screening for diabetes mellitus and hypertension in primary care settings in Karnataka, India: a few steps forward but still some way to go.

Pracheth Raghuveer, Tanu Anand, Jaya Prasad Tripathy, Abhay Subhashrao Nirgude, Mahendra M Reddy, Subhashree Nandy, Habeena Shaira, Poonam Ramesh Naik

Open access · goldAbstract read
In one paragraph

Article in F1000Research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
0.9field-weighted citation impact, top 23% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 16 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

8 authors at 4 institutions in 1 country.

Pracheth RaghuveerDepartment of Community Medicine, Yenepoya Medical College , Yenepoya (Deemed to be University), Mangaluru, Karnataka, 575018, India.ORCID 0000-0002-9811-561X
Tanu AnandIndian Council of Medical Research (ICMR), Department of Health Research, Ministry of Health and Family Welfare,, New Delhi, Delhi, 110029, India.
Jaya Prasad TripathyDepartment of Community Medicine, All India Institute of Medical Sciences (AIIMS), Nagpur, Maharashtra, 441108, India.
Abhay Subhashrao NirgudeDepartment of Community Medicine, Yenepoya Medical College , Yenepoya (Deemed to be University), Mangaluru, Karnataka, 575018, India.
Mahendra M ReddyDepartment of Community Medicine, Sri Devraj Urs Medical College, Sri Devraj Urs Academy of Higher Education and Research (SDUAHER), Kolar, Karnataka, 563103, India.
Subhashree NandyDepartment of Community Medicine, Yenepoya Medical College , Yenepoya (Deemed to be University), Mangaluru, Karnataka, 575018, India.
Habeena ShairaDepartment of Community Medicine, Yenepoya Medical College , Yenepoya (Deemed to be University), Mangaluru, Karnataka, 575018, India.
Poonam Ramesh NaikDepartment of Community Medicine, Yenepoya Medical College , Yenepoya (Deemed to be University), Mangaluru, Karnataka, 575018, India.
Yenepoya University · INAll India Institute of Medical Sciences, Nagpur · INIndian Council of Medical Research · INSri Devaraj Urs Medical College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Diabetes MellitusHypertensionMass ScreeningAdultFemaleHumansIndiaMaleMiddle AgedPrimary Health Careearly detectionlifestyle diseasesoperational researchopportunistic screeningSORT IT

Identifiers

PMID33299546
PMCPMC7676396
OpenAlexW3021608809

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.