Evidence map›Paper›PMID 39130872›Full record

ReviewCureus2024

Blood Viscosity Changes in Diabetes Mellitus: A 20-Year Bibliometric Review and Future Directions.

Jovita I Mbah, Phillip T Bwititi, Prajwal Gyawali, Ezekiel U Nwose

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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Flavonoids: Hemorheological effects and mechanisms of action.Naunyn-Schmiedeberg's archives of pharmacology · 2026
    Review
  2. Article
  3. Review
  4. Article
  5. Observational
  6. Review
  7. Article
  8. 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

4 authors.

Jovita I MbahSchool of Health and Medical Sciences, University of Southern Queensland, Toowoomba, AUS.
Phillip T BwititiDentistry and Medical Sciences, Charles Sturt University, New South Wales, AUS.
Prajwal GyawaliSchool of Health and Medical Sciences, University of Southern Queensland, Toowoomba, AUS.
Ezekiel U NwosePublic and Community Health, Amai Campus, Novena University, Ogume, NGA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Changes in hematological parameters due to diabetes are reflected in changes in whole blood viscosity (WBV). Understanding the impact of diabetes and its cardiovascular disease (CVD) complications can provide substantiation of how laboratory tests for WBV are useful to monitor the progression and treatment. The review examines research work done in the past 20 years to provide a framework for the present agenda. This was a narrative review that followed the standard Scale for the Assessment of Narrative Review Articles (SANRA) approach. It includes both conceptual and empirical reviews. WBV was appraised in the context of bibliographic research on diabetes and other related factors such as metabolic syndrome (MetS) and oxidative stress. The association of abnormal erythrocytes as well as the relationship between WBV and MetS is established. Changes in diabetes that contribute to the development of diabetic cardiovascular complications occur through the pathway of WBV physiology. However, longitudinal analysis is very limited. There is a dearth of longitudinal study data on WBV in diabetes management. This lack of data justifies a need for further studies, especially prospective and retrospective analysis, to investigate the prevalence of diabetes mellitus about the prevalence of cardiovascular complications indices, especially estimated WBV (eWBV) between periods and within cohorts.

Indexed as

conceptual & empirical reviewdiabetes cardiovascular complicationslaboratory testprogress reportwhole blood viscosity

Identifiers

PMID39130872
PMCPMC11310740

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.