Incident diabetes in clinical trials of antihypertensive drugs: a network meta-analysis.

By W. Elliott, P. Meyer. The Lancet, 2007

980 citations recorded by the source corpus.

Subfields: Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/0f6caa2fe1c94523a902f1665b0319c8e157f0b6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cardiology and Cardiovascular Medicine

1. Philippe van de Borne
2. S. Laurent
3. John P. A. Ioannidis
4. A. Ades
5. E. Schiffrin
6. Georgia Salanti
7. H. S. Boudier
8. B. K. Pedersen

In Endocrinology, Diabetes and Metabolism

1. John P. A. Ioannidis
2. A. Ades
3. Philippe van de Borne
4. Georgia Salanti

In Statistics and Probability

1. Georgia Salanti
2. A. Chaimani
3. Ian R. White
4. D. Caldwell
5. N. Welton
6. John P. A. Ioannidis
7. S. Dias
8. A. Ades

Citations in the corpus

• 2007 Guidelines for the Management of Arterial Hypertension: The Task Force for the Management of Arterial Hypertension of the European Society of Hypertension (ESH) and of the European Society of Cardiology (ESC) (2007, background): “Also, beta-blockers tend to increase body weight [401] and, particularly when used in combination with diuretics, to facilitate new-onset diabetes in predisposed patients [402].”
• ESH / ESC Guidelines for the management of arterial hypertension (2013, background): “Also, beta-blockers tend to increase body weight(401) and, particularly when used in combination with diuretics, to facilitate new-onset diabetes in predisposed patients.(402) This phe-”
• Visualizing Assumptions and Results in Network Meta-analysis: The Network Graphs Package (2015, background): “The last network consists of 22 trials comparing the safety of five antihypertensive treatments and placebo with respect to the incidence of diabetes (Elliott and Meyer 2007).”
• Conducting indirect-treatment-comparison and network-meta-analysis studies: report of the ISPOR Task Force on Indirect Treatment Comparisons Good Research Practices: part 2. (2011, methodology): “Lumley [18] decribed a maximum-likelihood approach using linear mixed models; is method has been applied in relatively few articles [19–21].”
• CINeMA: Software for semiautomated assessment of the confidence in the results of network meta‐analysis (2020, neutral): “The NMA found that the risk of diabetes was lower with ARB, and higher with diuretics than with placebo (Elliott and Meyer, 2007).”
• Network Meta-Analysis Using R: A Review of Currently Available Automated Packages (2014, methodology): “We used all three packages to apply NMA to a previously published network dataset that compared the effects of six treatments for hypertension on the incidence of diabetes [27].”
• The metabolic syndrome. (2003, neutral): “A meta-analysis of 22 clinical trials of participants who did not have diabetes at randomization showed that ACE inhibitors and ARBs were the agents the least associated with diabetes [87].”