Evidence map›Paper›PMID 39323717›Full record

ReviewCureus2024

The Impact of Social Support on Health Outcomes of Diabetic Patients: A Systematic Review.

Zaid Almubaid, Zachrieh Alhaj, Omar Almosa, Morad Marikh, Waliyah Khan

Abstract readReview
In one paragraph

Review 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.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  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.

Zaid AlmubaidJohn Sealy School of Medicine, University of Texas Medical Branch, Galveston, USA.
Zachrieh AlhajJohn Sealy School of Medicine, University of Texas Medical Branch, Galveston, USA.
Omar AlmosaEndocrinology, Edward Via College of Osteopathic Medicine, Monroe, USA.
Morad MarikhMedical School, University of Texas at Arlington, Arlington, USA.
Waliyah KhanMedical School, University of Texas at Arlington, Arlington, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 2 diabetes mellitus (T2DM) is a common chronic disease worldwide. The prevalence of T2DM has consistently increased over the past few decades. Factors affecting patient management of diabetes are important in preventing diabetic complications. Social support has been cited as one of the most important aspects of managing chronic conditions. This systematic review aims to consolidate the existing literature discussing the impact of social support on managing type 1 diabetes mellitus (T1DM) and T2DM. To begin our review, the Ovid MEDLINE (Medical Literature Analysis and Retrieval System Online) database was searched for all current literature on social support and diabetes health outcomes. Articles were then included and removed according to specific inclusion and exclusion criteria, and a systematic review was performed on the remaining articles. Twenty-two papers that met the inclusion and exclusion criteria were selected, and after data collection, a significant correlation was found between social support and health outcomes of diabetic patients and most articles reported that social support improves the health outcomes of diabetic patients. Studies show that there is some correlation between social support and improved health outcomes for diabetic patients. Further studies should be done to determine the exact correlations between social support and T2DM management and to explore the long-term impacts of social support on health outcomes for diabetic patients.

Indexed as

diabetesdiabetes self-managementhealth outcomespatient adherencesocial support

Identifiers

PMID39323717
PMCPMC11424042

What OpenQuestion holds

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LicenceCC BY
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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.