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Record W2033438957 · doi:10.1371/journal.pone.0009946

Meta-Analysis of Combined Therapy with Angiotensin Receptor Antagonists versus ACE Inhibitors Alone in Patients with Heart Failure

2010· review· en· W2033438957 on OpenAlexaff
Andrea Kuenzli, Heiner C. Bucher, Inder S. Anand, Gregory Arutiunov, Leo C.C. Kum, Robert S. McKelvie, Rizwan Afzal, Michel White, Alain Nordmann

Bibliographic record

VenuePLoS ONE · 2010
Typereview
Languageen
FieldMedicine
TopicHeart Failure Treatment and Management
Canadian institutionsUniversité de MontréalMontreal Heart InstituteHamilton Health SciencesMcMaster UniversityPopulation Health Research Institute
FundersAstraZeneca SchweizAstraZeneca
KeywordsMedicineHeart failureInternal medicineRenal functionAdverse effectACE inhibitorCombination therapyHyperkalemiaRandomized controlled trialAngiotensin-converting enzymeRelative riskCardiologyConfidence intervalBlood pressure

Abstract

fetched live from OpenAlex

BACKGROUND: There is insufficient evidence whether the benefit of adding angiotensin II receptor blockers (ARBs) to angiotensin-converting enzyme (ACE) inhibitors outweighs the increased risk of adverse effects in patients with heart failure. METHODOLOGY/PRINCIPAL FINDINGS: Two independent reviewers searched and abstracted randomized controlled trials of ARBs and ACE inhibitors compared to ACE inhibitor therapy alone in patients with heart failure reporting mortality and hospitalizations having a follow-up of at least 6 months identified by a systematic literature search. Eight trials including a total of 18,061 patients fulfilled our inclusion criteria. There was no difference between patients treated with combination therapy and ACE inhibitor therapy alone for overall mortality, hospitalization for any reason, fatal or nonfatal MI. Combination therapy was, however, associated with fewer hospital admissions for heart failure (RR 0.81, 95%CI 0.72-0.91), although there was significant heterogeneity across trials (p-value for heterogeneity = 0.04; I(2) = 57% [95%CI 0-83%]). Patients treated with combination therapy had a higher risk of worsening renal function and symptomatic hypotension, and their trial medications were more often permanently discontinued. Lack of individual patient data precluded the analysis of time-to-event data and identification of subgroups which potentially benefit more from combination therapy such as younger patients with preserved renal function and thus at lower risk to experience worsening renal function or hyperkalemia. CONCLUSIONS/SIGNIFICANCE: Combination therapy with ARBs and ACE inhibitors reduces admissions for heart failure in patients with congestive heart failure when compared to ACE inhibitor therapy alone, but does not reduce overall mortality or all-cause hospitalization and is associated with more adverse events. Thus, based on current evidence, combination therapy with ARBs and ACE inhibitors may be reserved for patients who remain symptomatic on therapy with ACE inhibitors under strict monitoring for any signs of worsening renal function and/or symptomatic hypotension.

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)0.025
metaresearch head score (Gemma)0.048
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.025
Threshold uncertainty score0.132

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0250.048
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0220.057
Bibliometrics0.0050.005
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0030.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.099
GPT teacher head0.292
Teacher spread0.192 · 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 designMeta-analysis
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

Citations53
Published2010
Admission routes1
Has abstractyes

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