Skip to content
DraconiticResearch
Search Sources API
203,234 studies31 sourcesUpdated 36 min ago
Peer-reviewedCC BY 4.0Frontiers in Endocrinology

Influencing factors of type 2 diabetes remission: a systematic review and meta-analysis

  1. 1Changchun University of Chinese Medicine
  2. 2Afliated Hospital of Changchun University of Chinese Medicine
  3. 3Department of Tuina, Affiliated Hospital of Changchun University of Chinese Medicine

Abstract

Purpose: To identify factors influencing type 2 diabetes mellitus (T2DM) remission and compare differences across intervention types and remission criteria.

Methods: T2DM remission was defined as HbA1c < 6.5% (48 mmol/mol), measured at least 3 months after cessation of glucose-lowering pharmacotherapy. Relevant literature on factors influencing T2DM remission was searched in English-language databases, with the search updated through March 2026. Meta-analysis was performed using Review Manager 5.4 and Stata 18.0 software.

Results: A total of 36 studies were included. Higher fasting plasma glucose (OR = 0.99, 95% CI = [0.99, 1.00], P < 0.001), higher glycated hemoglobin (OR = 0.91, 95% CI = [0.88, 0.94], P < 0.001), longer disease duration (OR = 0.89, 95% CI = [0.88, 0.90], P < 0.001), and a greater number of oral antidiabetic agents (OR = 0.56, 95% CI = [0.38, 0.81], P = 0.002) were associated with lower odds of remission. A greater percentage of total weight loss was associated with higher odds of remission (OR = 1.05, 95% CI = [1.04, 1.07], P < 0.001). In surgical interventions, a higher body mass index (OR = 1.05, 95% CI = [1.02, 1.08], P = 0.002) was associated with higher odds of remission, whereas older age (OR = 0.96, 95% CI = [0.94, 0.98], P < 0.001) and insulin use (OR = 0.34, 95% CI = [0.23, 0.52], P < 0.001) were associated with lower odds of remission. In non-surgical interventions, alcohol cessation was associated with higher odds of remission (OR = 1.14, 95% CI = [1.05, 1.26], P < 0.001), while factors influencing lower odds of remission included smoking (OR = 0.90, 95% CI = [0.86, 0.94], P < 0.001), continued alcohol consumption (OR = 0.90, 95% CI = [0.84, 0.95], P < 0.001), and a higher body mass index (OR = 0.89, 95% CI = [0.86, 0.92], P < 0.001). Gender, race/ethnicity, physical exercise, intermittent fasting, HOMA-IR and C-peptide level were not associated with T2DM remission.

Conclusion: T2DM remission is influenced by multiple factors, with BMI showing opposite associations by intervention type. Future large-scale, prospective studies are needed to validate these findings.

Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/ , identifier CRD420261295582.

Related

  1. Factors influencing baseline electrocardiographic parameters in rats: A systematic review of experimental studies published from 1960 to the present
    Viktória Novotná, Soňa Grešová, Pavol Švorc
    Physiological reportsPeer-reviewedCC BYFull textGeneral medicineEurope PMC
  2. Factors Influencing Adherence to Mammography Screening Guidelines Among Women From Diverse Cultural Backgrounds: A Systematic Review
    Antonia Christoforidou, Marianna Drakopoulou, Alexandra Mantoudi +5
    CureusPeer-reviewedCC BYFull textGeneral medicineEurope PMC
  3. Factors influencing access to green health prescribing in primary care for older adults – a qualitative systematic review
    Jeremiah Donoghue, Furqan Butt, Cameron Ley +10
    BMC MedicinePeer-reviewedCC BY-NC-ND 4.0Full text1 citedPharmacology & toxicologyCrossref
  4. Facilitators and barriers influencing the implementation of type 2 diabetes remission programmes: a qualitative meta-synthesis from a multi-stakeholder perspective
    Songna Jin, Linyue Tan, Qiuhong Zhou +2
    BMC Public HealthPeer-reviewedCC BYFull textEpidemiology & public healthDOAJ
  5. Prevalence and factors influencing influenza vaccination among health care workers in China: a systematic review and meta-analysis.
    Lina Xiong, Chunfang Cheng, Jie Yun
    Frontiers in public healthPeer-reviewedCC BYFull textEpidemiology & public healthEurope PMC
BibTeX
@article{cheng2026influencing,
  title = {{Influencing factors of type 2 diabetes remission: a systematic review and meta-analysis}},
  author = {Siwen Cheng and Jinying Chen and Xinlu Zhang and Haotian Qi and Xiaoxia Kang and Weichen Nie and Yilin Feng and Rui Chen},
  journal = {Frontiers in Endocrinology},
  year = {2026},
  month = oct,
  doi = {10.3389/fendo.2026.1916734},
  url = {https://www.frontiersin.org/articles/10.3389/fendo.2026.1916734/full},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Influencing factors of type 2 diabetes remission: a systematic review and meta-analysis
AU  - Siwen Cheng
AU  - Jinying Chen
AU  - Xinlu Zhang
AU  - Haotian Qi
AU  - Xiaoxia Kang
AU  - Weichen Nie
AU  - Yilin Feng
AU  - Rui Chen
PY  - 2026
DA  - 2026/10/15
JO  - Frontiers in Endocrinology
DO  - 10.3389/fendo.2026.1916734
UR  - https://www.frontiersin.org/articles/10.3389/fendo.2026.1916734/full
AB  - Purpose: To identify factors influencing type 2 diabetes mellitus (T2DM) remission and compare differences across intervention types and remission criteria.  Methods: T2DM remission was defined as HbA1c < 6.5% (48 mmol/mol), measured at least 3 months after cessation of glucose-lowering pharmacotherapy. Relevant literature on factors influencing T2DM remission was searched in English-language databases, with the search updated through March 2026. Meta-analysis was performed using Review Manager 5.4 and Stata 18.0 software.  Results: A total of 36 studies were included. Higher fasting plasma glucose (OR = 0.99, 95% CI = [0.99, 1.00], P < 0.001), higher glycated hemoglobin (OR = 0.91, 95% CI = [0.88, 0.94], P < 0.001), longer disease duration (OR = 0.89, 95% CI = [0.88, 0.90], P < 0.001), and a greater number of oral antidiabetic agents (OR = 0.56, 95% CI = [0.38, 0.81], P = 0.002) were associated with lower odds of remission. A greater percentage of total weight loss was associated with higher odds of remission (OR = 1.05, 95% CI = [1.04, 1.07], P < 0.001). In surgical interventions, a higher body mass index (OR = 1.05, 95% CI = [1.02, 1.08], P = 0.002) was associated with higher odds of remission, whereas older age (OR = 0.96, 95% CI = [0.94, 0.98], P < 0.001) and insulin use (OR = 0.34, 95% CI = [0.23, 0.52], P < 0.001) were associated with lower odds of remission. In non-surgical interventions, alcohol cessation was associated with higher odds of remission (OR = 1.14, 95% CI = [1.05, 1.26], P < 0.001), while factors influencing lower odds of remission included smoking (OR = 0.90, 95% CI = [0.86, 0.94], P < 0.001), continued alcohol consumption (OR = 0.90, 95% CI = [0.84, 0.95], P < 0.001), and a higher body mass index (OR = 0.89, 95% CI = [0.86, 0.92], P < 0.001). Gender, race/ethnicity, physical exercise, intermittent fasting, HOMA-IR and C-peptide level were not associated with T2DM remission.  Conclusion: T2DM remission is influenced by multiple factors, with BMI showing opposite associations by intervention type. Future large-scale, prospective studies are needed to validate these findings.  Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/ , identifier CRD420261295582.
SN  - 1664-2392
ER  -