4.7 Review

Comparative efficacy and safety of glucose-lowering drugs as adjunctive therapy for adults with type 1 diabetes: A systematic review and network meta-analysis

Related references

Note: Only part of the references are listed.
Article Health Care Sciences & Services

Excluding non-English publications from evidence-syntheses did not change conclusions: a meta-epidemiological study

B. Nussbaumer-Streit et al.

JOURNAL OF CLINICAL EPIDEMIOLOGY (2020)

News Item Endocrinology & Metabolism

ICE guidance on sotagliflozin for type 1 diabetes

Amanda I. Adler et al.

LANCET DIABETES & ENDOCRINOLOGY (2020)

Article Endocrinology & Metabolism

GLP-1 receptor agonists in type 1 diabetes: a MAG1C bullet?

Michael A Nauck et al.

Lancet Diabetes & Endocrinology (2020)

Review Endocrinology & Metabolism

Optimising the Benefits of SGLT2 Inhibitors for Type 1 Diabetes

Marc Evans et al.

DIABETES THERAPY (2020)

Article Medicine, General & Internal

CINeMA: An approach for assessing confidence in the results of a network meta-analysis

Adriani Nikolakopoulou et al.

PLOS MEDICINE (2020)

Article Endocrinology & Metabolism

Risk factors and prevention strategies for diabetic ketoacidosis in people with established type 1 diabetes

Dominic Ehrmann et al.

Lancet Diabetes & Endocrinology (2020)

Article Health Care Sciences & Services

The number needed to treat in pairwise and network meta-analysis and its graphical representation

Areti Angeliki Veroniki et al.

JOURNAL OF CLINICAL EPIDEMIOLOGY (2019)

Article Endocrinology & Metabolism

Incretin-based therapies for patients with type 1 diabetes: a meta-analysis

Lili Liu et al.

ENDOCRINE CONNECTIONS (2019)

Article Medicine, General & Internal

RoB 2: a revised tool for assessing risk of bias in randomised trials

Jonathan A. C. Sterne et al.

BMJ-BRITISH MEDICAL JOURNAL (2019)

News Item Endocrinology & Metabolism

NICE guidance on dapagliflozin with insulin for type 1 diabetes

Amanda I. Adler et al.

LANCET DIABETES & ENDOCRINOLOGY (2019)

Article Endocrinology & Metabolism

Empagliflozin as Adjunctive to Insulin Therapy in Type 1 Diabetes: The EASE Trials

Julio Rosenstock et al.

DIABETES CARE (2018)

Review Endocrinology & Metabolism

Non-insulin drugs to treat hyperglycaemia in type 1 diabetes mellitus

Christian Seerup Frandsen et al.

LANCET DIABETES & ENDOCRINOLOGY (2016)

Article Pharmacology & Pharmacy

Model-Based Network Meta-Analysis: A Framework for Evidence Synthesis of Clinical Trial Data

D. Mawdsley et al.

CPT-PHARMACOMETRICS & SYSTEMS PHARMACOLOGY (2016)

Article Health Care Sciences & Services

Ranking treatments in frequentist network meta-analysis works without resampling methods

Gerta Ruecker et al.

BMC MEDICAL RESEARCH METHODOLOGY (2015)

Article Health Care Sciences & Services

Predictive distributions were developed for the extent of heterogeneity in meta-analyses of continuous outcome data

Kirsty M. Rhodes et al.

JOURNAL OF CLINICAL EPIDEMIOLOGY (2015)

Article Public, Environmental & Occupational Health

Predicting the extent of heterogeneity in meta-analysis, using empirical data from the Cochrane Database of Systematic Reviews

Rebecca M. Turner et al.

INTERNATIONAL JOURNAL OF EPIDEMIOLOGY (2012)

Article Mathematical & Computational Biology

Consistency and inconsistency in network meta-analysis: concepts and models for multi-arm studies

J. P. T. Higgins et al.

RESEARCH SYNTHESIS METHODS (2012)

Article Mathematical & Computational Biology

Using network meta-analysis to evaluate the existence of small-study effects in a network of interventions

Anna Chaimani et al.

RESEARCH SYNTHESIS METHODS (2012)

Article Mathematical & Computational Biology

Network meta-analysis, electrical networks and graph theory

Gerta Ruecker

RESEARCH SYNTHESIS METHODS (2012)

Article Mathematical & Computational Biology

Checking consistency in mixed treatment comparison meta-analysis

S. Dias et al.

STATISTICS IN MEDICINE (2010)

Article Public, Environmental & Occupational Health

Meta-analyses involving cross-over trials: methodological issues

DR Elbourne et al.

INTERNATIONAL JOURNAL OF EPIDEMIOLOGY (2002)