Evidence map›Paper›PMID 30090713›Full record

ArticlePerspectives in clinical research

Polypharmacy and comorbidity status in the treatment of type 2 diabetic patients attending a tertiary care hospital: An observational and questionnaire-based study.

Rania Indu, Anjan Adhikari, Indira Maisnam, Piyali Basak, Tapas Kumar Sur, Anup Kumar Das

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Article in Perspectives in clinical research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.9field-weighted citation impact, top 16% 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

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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

13 citing papers in PubMed, 29 citations in OpenAlex.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Rania InduDepartment of Pharmacology, R. G. Kar Medical College, Kolkata, West Bengal, India.
Anjan AdhikariDepartment of Pharmacology, R. G. Kar Medical College, Kolkata, West Bengal, India.
Indira MaisnamDepartment of Endocrinology, R. G. Kar Medical College, Kolkata, West Bengal, India.
Piyali BasakSchool of Bioscience and Engineering, Jadavpur University, Kolkata, West Bengal, India.
Tapas Kumar SurDepartment of Pharmacology, Institute of Postgraduate Medical Education and Research, Kolkata, West Bengal, India.
Anup Kumar DasDepartment of Pharmacology, R. G. Kar Medical College, Kolkata, West Bengal, India.
R. G. Kar Medical College and Hospital · INInstitute of Post Graduate Medical Education and Research · INJadavpur University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PURPOSE/

aimDiabetes mellitus is associated with several comorbid conditions. Thus, often, diabetic patients are prescribed multiple drugs. Although multiple drugs help to combat various diseases, they also increase the propensity of drug interactions and adverse drug reactions. The present study thus tried to evaluate the comorbid conditions and concurrent medications associated with type 2 diabetic patients. It also aimed to address patient compliance for the medications provided to them. MATERIALS AND

methodsThis was a cross-sectional observational study conducted for 2 months - January-February 2017. Data were collected from prescriptions of the patients and also by interviewing the willing patients, attending the Diabetic Clinic of R. G. Kar Medical College, Kolkata, India.

resultsDuring the study period, 150 patients were interviewed and their prescriptions were studied. Out of 150 patients, 69 (46%) were males and 81 (54%) were females. The mean age of the study population was 51.5 (±0.78) years. The present study evaluated that 83.3% (125) of the study population suffered from at least one comorbid conditions, the most common being hyperlipidemia (70.7%) and hypertension (47.3%). The average number of drugs prescribed is 4.72 (±0.11) per prescription. Metformin was prescribed to 96% of the patients. The concurrent medications recommended included hypolipidemics (72%), antihypertensives (68%), drugs for peptic ulcer (34.7%), and antiplatelets (10.7%).

conclusionThe present study thus concluded that diabetic patients suffer from a number of comorbid conditions, most commonly, cardiovascular problems. The comorbidity increased with the age. The level of polypharmacy was also high, thereby increasing the pill burden for the patients.

Indexed as

Cardiovascular disorderscomorbiditydiabetes mellitushypolipidemicspolypharmacy

Identifiers

PMID30090713
PMCPMC6058506
OpenAlexW2874928922

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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.