Evidence map›Paper›PMID 38872648›Full record

ReviewCureus2024

Bibliometric Analysis of Clinical Trials on the Effect of Sugar Alcohol Consumption on Oral Health: Trends, Insights, and Future Directions (1967-2024).

Namrata Dagli, Mainul Haque, Santosh Kumar

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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Namrata DagliKarnavati Scientific Research Center, Karnavati School of Dentistry, Karnavati University, Gandhinagar, IND.
Mainul HaqueKarnavati Scientific Research Center, Karnavati School of Dentistry, Karnavati University, Gandhinagar, IND.
Santosh KumarPeriodontology and Implantology, Karnavati School of Dentistry, Karnavati University, Gandhinagar, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, the quest for healthier alternatives to sugar has led to the widespread use of sugar alcohol in various food and beverage products. Sugar alcohols, such as xylitol, sorbitol, and erythritol, are popular substitutes due to their sweet taste and lower calorie content than sucrose. Beyond their role in calorie reduction, sugar alcohols have garnered attention for their potential impact on oral health. The bibliometric analysis of clinical trials on sugar alcohol and oral health in PubMed reveals a dynamic and multifaceted research landscape shaped by various factors. Fluctuations in publication rates over time suggest influences such as shifts in research interests, technological advancements, regulatory changes, and evolving consumer behaviors. Key authors like Makinen KK, Makinen PL, and Soderling E emerge as prolific contributors with collaborative solid networks within the research community. The University of Turku in Finland has been identified as the highest contributing university, while Caries Research is the most contributing journal based on the number of clinical trials published. The country-wise analysis highlights Italy and the United States as substantial contributors, with diverse trajectories of research activity observed across nations. The subject-specific words with the highest cooccurrence are xylitol, dental caries, chewing gum,

Indexed as

bibliometric analysisdental health and carieshydrogenated starch hydrolysates (hsh)mannitoloral healthoral microbiotaperiodontal healthsorbitolsugar alcoholxylitol

Identifiers

PMID38872648
PMCPMC11170056

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.