Evidence map›Paper›PMID 33339276›Full record

ReviewNutrients2020

Beta-Cell Mass in Obesity and Type 2 Diabetes, and Its Relation to Pancreas Fat: A Mini-Review.

Jun Inaishi, Yoshifumi Saisho

Open access · goldAbstract readReview
In one paragraph

Review in Nutrients, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
11.8field-weighted citation impact, top 1% of its field
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

59 citing papers in PubMed, 106 citations in OpenAlex.

  1. Trial
  2. Article
  3. Is high insulin protective or detrimental? Mathematical modeling reveals the base of the iceberg.American journal of physiology. Endocrinology and metabolism · 2026
    Article
  4. Review
  5. Observational
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. Evolving Characteristics of Type 2 Diabetes Mellitus in East Asia.Endocrinology and metabolism (Seoul, Korea) · 2025
    Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

2 authors at 1 institution in 1 country.

Jun InaishiDepartment of Internal Medicine, School of Medicine, Keio University, Tokyo 160-8582, Japan.
Yoshifumi SaishoDepartment of Internal Medicine, School of Medicine, Keio University, Tokyo 160-8582, Japan.ORCID 0000-0002-6071-4393
Keio University · JP

Funding

Ministry of Education, Culture, Sports, Science and Technology 18K08488 and 20K17542
6 · The paper itself

Abstract

Type 2 diabetes (T2DM) is characterized by insulin resistance and beta-cell dysfunction. Although insulin resistance is assumed to be a main pathophysiological feature of the development of T2DM, recent studies have revealed that a deficit of functional beta-cell mass is an essential factor for the pathophysiology of T2DM. Pancreatic fat contents increase with obesity and are suggested to cause beta-cell dysfunction. Since the beta-cell dysfunction induced by obesity or progressive decline with disease duration results in a worsening glycemic control, and treatment failure, preserving beta-cell mass is an important treatment strategy for T2DM. In this mini-review, we summarize the current knowledge on beta-cell mass, beta-cell function, and pancreas fat in obesity and T2DM, and we discuss treatment strategies for T2DM in relation to beta-cell preservation.

Indexed as

AdipocytesDiabetes Mellitus, Type 2Glucose IntoleranceHumansInsulin ResistanceInsulin-Secreting CellsObesityPancreasbeta-cell massdiabeteshuman pancreasobesitypancreas fat

Identifiers

PMID33339276
PMCPMC7766247
OpenAlexW3112780134

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.