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Blood pressure-lowering efficacy of loop diuretics for primary hypertension

2015· review· en· W1929831634 on OpenAlexafffund
Vijaya M Musini, Pouria Rezapour, James M Wright, Ken Bassett, Ciprian D Jauca

Bibliographic record

VenueCochrane Database of Systematic Reviews · 2015
Typereview
Languageen
FieldMedicine
TopicBlood Pressure and Hypertension Studies
Canadian institutionsUniversity of British Columbia
FundersCanadian Institutes of Health Research
KeywordsMedicineBlood pressureLoop diureticThiazidePlaceboFurosemideAdverse effectRandomized controlled trialInternal medicineHydrochlorothiazideDiureticRelative riskConfidence interval

Abstract

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BACKGROUND: Antihypertensive drugs from the thiazide diuretic drug class have been shown to reduce mortality and cardiovascular morbidity. Loop diuretics are indicated and used to treat hypertension, but a systematic review of their blood pressure-lowering efficacy or effectiveness in terms of reducing cardiovascular mortality or morbidity from randomized controlled trial (RCT) evidence has not been conducted. OBJECTIVES: To determine the dose-related decrease in systolic or diastolic blood pressure, or both, as well as adverse events leading to participant withdrawal and adverse biochemical effects (serum potassium, uric acid, creatinine, glucose and lipids profile) due to loop diuretics versus placebo control in the treatment of people with primary hypertension. SEARCH METHODS: We searched the Cochrane Hypertension Group Specialised Register, the Cochrane Central Register of Controlled Trials (CENTRAL, 2014, Issue 9), MEDLINE, MEDLINE In-Process, EMBASE, and ClinicalTrials.gov to 27 October 2014. SELECTION CRITERIA: We included double-blind randomized placebo-controlled trials of at least three weeks duration comparing loop diuretic with a placebo in people with primary hypertension defined as blood pressure greater than 140/90 mmHg at baseline. DATA COLLECTION AND ANALYSIS: Two review authors independently assessed the risk of bias and extracted data. We used weighted mean difference and a fixed effects model to combine continuous outcome data. We analysed the drop outs due to adverse effects using relative risk ratio. MAIN RESULTS: Nine trials evaluated the dose-related blood pressure-lowering efficacy of five drugs within the loop diuretics class (furosemide 40 mg to 60 mg, cicletanine 100 mg to 150 mg, piretanide 3 mg to 6 mg, indacrinone enantiomer -2.5 mg to -10.0/+80 mg, and etozolin 200 mg) in 460 people with baseline blood pressure of 162/103 mmHg for a mean duration of 8.8 weeks. The best estimate of systolic/diastolic blood pressure-lowering efficacy of loop diuretics was -7.9 (-10.4 to -5.4) mmHg/ -4.4 (-5.9 to -2.8) mmHg. Withdrawals due to adverse effects and serum biochemical changes did not show a significant difference.We performed additional searches in 2012 and 2014, which found no additional trials meeting the minimum inclusion criteria. AUTHORS' CONCLUSIONS: Based on the limited number of published RCTs, the systolic/diastolic blood pressure-lowering effect of loop diuretics is -8/-4 mmHg, which is likely an overestimate. We graded the quality of evidence for both systolic and diastolic blood pressure estimates as "low" due to the high risk of bias of included studies and the high likelihood of publication bias. We found no clinically meaningful blood pressure-lowering differences between different drugs within the loop diuretic class. The dose-ranging effects of loop diuretics could not be evaluated. The review did not provide a good estimate of the incidence of harms associated with loop diuretics because of the short duration of the trials and the lack of reporting of adverse effects in many of the trials.

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)0.008
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.008
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.027
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0060.004
Bibliometrics0.0040.003
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.177
GPT teacher head0.382
Teacher spread0.205 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations58
Published2015
Admission routes2
Has abstractyes

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