Evidence map›Paper›PMID 39099816›Full record

ArticleWorld journal of diabetes2024

Remission of type 2 diabetes mellitus.

Afif Nakhleh, Elya Halfin, Naim Shehadeh

Abstract readEditorial
In one paragraph

Article in World journal of diabetes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Clinical and Metabolic Characteristics of Spontaneous Remission in Type 2 Diabetes: A Real-World Study from South India.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2026
    Article
  3. Article
  4. 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

3 authors.

Afif NakhlehInstitute of Endocrinology, Diabetes and Metabolism, Rambam Health Care Campus, Haifa 3109601, Israel.
Elya HalfinDiabetes and Endocrinology Clinic, Maccabi Healthcare Services, Haifa 3299001, Israel.
Naim ShehadehInstitute of Endocrinology, Diabetes and Metabolism, Rambam Health Care Campus, Haifa 3109601, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The surge in type 2 diabetes mellitus (T2DM) is tightly linked to obesity, leading to ectopic fat accumulation in internal organs. Weight management has become a cornerstone of T2DM treatment, with evidence suggesting that significant weight loss can induce remission. Remission, defined as sustained hemoglobin (HbA1c) below 6.5% for at least 3 months without medication, can be achieved through various approaches, including lifestyle, medical, and surgical interventions. Metabolic bariatric surgery offers significant remission rates, particularly for patients with severe obesity. Intensive lifestyle modifications, including low-calorie diets and exercise, have also demonstrated significant potential. Medications like incretin-based agents show robust results in improving beta-cell function, achieving glycemic control, and promoting weight loss. While complete remission without medication may not be attainable for everyone, especially those with severe insulin resistance or deficiency, early and aggressive glycemic control remains a crucial strategy. Maintaining HbA1c below 6.5% from the time of diagnosis reduces the risk of long-term complications and mortality. Moreover, considering a broader definition of remission, encompassing individuals with sustained control on medication, could offer a more comprehensive and inclusive approach to managing this chronic disease.

Indexed as

Glucose-lowering medicationsLifestyle interventionMetabolic bariatric surgeryRemissionType 2 diabetes mellitusWeight management medications

Identifiers

PMID39099816
PMCPMC11292336

What OpenQuestion holds

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LicenceCC BY-NC
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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.