Evidence map›Paper›PMID 39224717›Full record

ArticleCureus2024

Assessment of Health-Related Quality of Life and Its Determinants in Type 2 Diabetes Mellitus Patients: A Cross-Sectional Study.

Amit Kumar Mishra, Manoj Kumar Choudhary, Chandan Kumar, Anand Kishor, Anjali Kumari

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
  3. Article
  4. Article
  5. 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

5 authors.

Amit Kumar MishraDepartment of General Medicine, Indira Gandhi Institute of Medical Sciences, Patna, IND.
Manoj Kumar ChoudharyDepartment of General Medicine, Indira Gandhi Institute of Medical Sciences, Patna, IND.
Chandan KumarDepartment of General Medicine, Indira Gandhi Institute of Medical Sciences, Patna, IND.
Anand KishorDepartment of General Medicine, Indira Gandhi Institute of Medical Sciences, Patna, IND.
Anjali KumariDepartment of General Medicine, Indira Gandhi Institute of Medical Sciences, Patna, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Type 2 diabetes mellitus is a complex metabolic disorder associated with several complications that determine the quality of life of the patients. Health-related quality of life (HRQoL) is a measurable outcome of the self-perception of a patient's health which is affected due to age, lifestyle changes, medication, and treatment modalities. This study was undertaken to understand the impact of individual parameters of age, medication type and duration, diabetes-associated complications, and levels of glycated hemoglobin (HbA1c) on the quality of life (QoL) of the patient.  Methodology This single-center prospective, cross-sectional study was conducted at the Indira Gandhi Institute of Medical Sciences (IGIMS), Patna, Bihar, India. Participants were recruited from the Outpatient Department of General Medicine, IGIMS. HRQoL was measured using a validated and reliable EuroQol 5-dimensions 5-levels (EQ-5D-5L) questionnaire developed by the EuroQol Research Foundation, along with the EuroQol-Visual Analogue Scale (EQ-VAS). The eligibility criteria included adult diabetic patients above 18 years of age with complete medical records, who had been treated at the outpatient department for a minimum of three months and could be interviewed. Results The results from this study show that 46% of the patients belonged to the age group of 45-65 years. The quality of health index scores and EQ-VAS scores significantly correlated with age (p-values: 1.11 e

Indexed as

coronary artery diseaseeq-5d-5l questionnaireeuroqol-visual analogue scalehba1chrqolhyperglycemiaquality of lifetype 2 diabetes

Identifiers

PMID39224717
PMCPMC11367283

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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.