Evidence map›Paper›PMID 30338194›Full record

ArticleCureus2018

Gender-specific Knowledge of Diabetes and Its Management Among Patients Visiting Outpatient Clinics in Faisalabad, Pakistan.

Ahmad Shahzad, Muhammad Masood Ahmad, Ijaz Anwer, Noor Ijaz, Maheen Shahzad, Muhammad Usman

Abstract read
In one paragraph

Article in Cureus, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

6 authors.

Ahmad ShahzadFamily Medicine/Diabetology, Al Raheem Clinics, Faisalabad, PAK.
Muhammad Masood AhmadFamily Medicine/Diabetology, Masood Medicare, Faisalabad, PAK.
Ijaz AnwerFamily Medicine, Diabetology, Anwer Clinic, Faisalabad, PAK.
Noor IjazDemonstrator, College of Medicine and Dentistry University of Lahore, Lahore, PAK.
Maheen ShahzadMedical Student, Faisalabad University Medical and Dental College, Faisalabad, PAK.
Muhammad UsmanFinal Year Medical Student, King Edward Medical University, Lahore, PAK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDiabetes mellitus is an emerging public health concern. The aim of this study was to assess the gender-specific knowledge of patients about diabetes mellitus, its complications, and its management.

methodsA cross-sectional study was conducted in outpatient clinics of Faisalabad, Pakistan, from November 2017 to March 2018. Consecutive patients with diabetes, aged >18 years, were administered a validated questionnaire related to knowledge of diabetes, its complications, and its management. An analysis was conducted using IBM SPSS Statistics for Windows, Version 19.0 software (IBM Corp., Armonk, NY). Results were stratified on the basis of gender and were compared using chi-square tests.

resultsOf the 840 patients recruited, 76.4% were aged >50 years. About 57% were women, and 43% were men. Most men (89.4%) and women (91.7%) were aware that the management of diabetes requires a cutting down in the consumption of refined sugar, and 64.6% and 50.4%, respectively, reported that they exercise regularly to control their glucose levels. Moreover, 14% of the men and 25% of the women responded that they knew neuropathy is a complication of diabetes.

conclusionDiabetes mellitus has debilitating effects on patients and communities. To effectively manage diabetes and to delay the development of complications, there is a dire need to educate patients, families, and communities.

Indexed as

diabetes mellitusgenderknowledgepakistant2dm

Identifiers

PMID30338194
PMCPMC6175260

What OpenQuestion holds

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LicenceCC BY
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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.