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Chlorthalidone Versus Hydrochlorothiazide

2013· letter· en· W2030447344 on OpenAlexaffabout
Irfan A. Dhalla, Muhammad Mamdani, David N. Juurlink

Bibliographic record

VenueAnnals of Internal Medicine · 2013
Typeletter
Languageen
FieldMedicine
TopicBlood Pressure and Hypertension Studies
Canadian institutionsInstitute for Clinical Evaluative SciencesSt. Michael's Hospital
Fundersnot available
KeywordsChlorthalidoneMedicineHydrochlorothiazideSurpriseClinical trialMeta-analysisDiureticInternal medicineBlood pressurePsychology

Abstract

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Letters18 June 2013Chlorthalidone Versus HydrochlorothiazideIrfan A. Dhalla, MD, MSc, Muhammad M. Mamdani, PharmD, MA, MPH, and David N. Juurlink, MD, PhDIrfan A. Dhalla, MD, MScFrom St. Michael's Hospital, Toronto, Ontario, Canada; and Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada.Search for more papers by this author, Muhammad M. Mamdani, PharmD, MA, MPHFrom St. Michael's Hospital, Toronto, Ontario, Canada; and Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada.Search for more papers by this author, and David N. Juurlink, MD, PhDFrom St. Michael's Hospital, Toronto, Ontario, Canada; and Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada.Search for more papers by this authorAuthor, Article, and Disclosure Informationhttps://doi.org/10.7326/0003-4819-158-12-201306180-00019 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinkedInRedditEmail IN RESPONSE:We conducted a comparative effectiveness study to test whether chlorthalidone is superior to HCTZ in older adults as routinely prescribed in Ontario. To our surprise, our data did not support this hypothesis.As noted in our study, the network meta-analysis completed by Dr. Roush and colleagues suggests that chlorthalidone may be more effective than HCTZ in clinical trial settings (1). We also noted that additional data support the argument that chlorthalidone is superior to HCTZ (2, 3).There are several potential explanations of why our results yield a different conclusion. First, in the aforementioned network meta-analysis, most chlorthalidone ...References1. Roush GC, Holford TR, Guddati AK. Chlorthalidone compared with hydrochlorothiazide in reducing cardiovascular events: systematic review and network meta-analyses. Hypertension. 2012;59:1110-7. [PMID: 22526259] CrossrefMedlineGoogle Scholar2. Dorsch MP, Gillespie BW, Erickson SR, Bleske BE, Weder AB. Chlorthalidone reduces cardiovascular events compared with hydrochlorothiazide: a retrospective cohort analysis. Hypertension. 2011;57:689-94. [PMID: 21383313] CrossrefMedlineGoogle Scholar3. Ernst ME, Carter BL, Goerdt CJ, Steffensmeier JJ, Phillips BB, Zimmerman MB, et al. Comparative antihypertensive effects of hydrochlorothiazide and chlorthalidone on ambulatory and office blood pressure. Hypertension. 2006;47:352-8. [PMID: 16432050] CrossrefMedlineGoogle Scholar4. Peterzan MA, Hardy R, Chaturvedi N, Hughes AD. Meta-analysis of dose-response relationships for hydrochlorothiazide, chlorthalidone, and bendroflumethiazide on blood pressure, serum potassium, and urate. Hypertension. 2012;59:1104-9. [PMID: 22547443] CrossrefMedlineGoogle Scholar5. Gandhi S, Shariff SZ, Fleet JL, Weir MA, Jain AK, Garg AX. Validity of the International Classification of Diseases 10th revision code for hospitalisation with hyponatraemia in elderly patients. BMJ Open. 2012;2:. [PMID: 23274673] CrossrefMedlineGoogle Scholar Author, Article, and Disclosure InformationAffiliations: From St. Michael's Hospital, Toronto, Ontario, Canada; and Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada.Disclosures: Disclosures can be viewed at www.acponline.org/authors/icmje/ConflictOfInterestForms.do?msNum=M12-1038. PreviousarticleNextarticle Advertisement FiguresReferencesRelatedDetailsSee AlsoChlorthalidone Versus Hydrochlorothiazide for the Treatment of Hypertension in Older Adults Irfan A. Dhalla , Tara Gomes , Zhan Yao , Jeff Nagge , Navindra Persaud , Chelsea Hellings , Muhammad M. Mamdani , and David N. Juurlink Chlorthalidone Versus Hydrochlorothiazide George C. Roush , Theodore R. Holford , and Achuta K. Guddati Chlorthalidone Versus Hydrochlorothiazide James J. DiNicolantonio , James H. O'Keefe , and Carl J. Lavie Chlorthalidone Versus Hydrochlorothiazide Robert G. Badgett Chlorthalidone Versus Hydrochlorothiazide Alberto Donzelli Chlorthalidone Versus Hydrochlorothiazide Paula T. Einhorn , William C. Cushman , Paul K. Whelton , and Metrics Cited ByChlorthalidone Versus Hydrochlorothiazide in Hypertension Treatment: Do We Have the Evidence to Decide? 18 June 2013Volume 158, Issue 12Page: 923-924KeywordsClinical trialsDrugsElderlyHypertensionHyponatremiaHypotensionNetwork analysisPopulation statisticsPotassium ePublished: 18 June 2013 Issue Published: 18 June 2013 CopyrightCopyright © 2013 by American College of Physicians. All Rights Reserved.PDF DownloadLoading ...

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.023
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.031
Threshold uncertainty score0.105

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.023
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0310.003

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.113
GPT teacher head0.349
Teacher spread0.236 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2013
Admission routes2
Has abstractyes

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