Evidence map›Paper›PMID 33107491›Full record

ArticleThe Indian journal of medical research2020

Quality of anticoagulation with warfarin in rural Chhattisgarh, India.

Puja Chebrolu, Sushil Patil, Timothy S Laux, Noor Al-Hammadi, Yogesh Jain, Brian Gage

Open access · diamondAbstract read
In one paragraph

Article in The Indian journal of medical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 25% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Puja ChebroluDepartment of Medicine, Washington University in St. Louis, Missouri, USA.
Sushil PatilJan Swasthya Sahyog, Chhattisgarh, India.
Timothy S LauxDepartment of Hospital Medicine, Columbia University Medical Center, New York, USA.
Noor Al-HammadiDivision of Biostatistics, Washington University in St. Louis, St. Louis, Missouri, USA.
Yogesh JainJan Swasthya Sahyog, Chhattisgarh, India.
Brian GageDepartment of Medicine, Washington University in St. Louis, Missouri, USA.
Washington University in St. Louis · USColumbia University Irving Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background & objectives: In most of rural India, warfarin is the only oral anticoagulant available. Among patients taking warfarin, there is a strong association between poor control of the international normalized ratio (INR) and adverse events. This study was aimed to quantify INR control in a secondary healthcare system in rural Chhattisgarh, India. Methods: The INR data were retrospectively obtained from all patients taking warfarin during 2014-2016 at a secondary healthcare system in rural Chhattisgarh, India. Patients attending the clinic had their INR checked at the hospital laboratory and their warfarin dose adjusted by a physician on the same day. The time in therapeutic range (TTR) was calculated for patients who had at least two INR visits. Results: The 249 patients had 2839 INR visits. Their median age was 46 yr, and the median body mass index was 17.7 kg/m Interpretation & conclusions: INR values were subtherapeutic two-thirds of the time, and TTR values were poor regardless of distance from the health centre. Future studies should be done to identify interventions to improve INR control.

Indexed as

Atrial FibrillationWarfarinAnticoagulantsHumansIndiaInternational Normalized RatioMiddle AgedRetrospective StudiesAnticoagulantsWarfarinAnticoagulationinternational normalized ratiostrokeTTRwarfarin

Identifiers

PMID33107491
PMCPMC7881821
OpenAlexW3093389028

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.