ArticleJournal of human hypertension2026
Apparent versus true resistant hypertension in a real-world argentine cohort.
Article in Journal of human hypertension, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
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Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Resistant hypertension is frequently overdiagnosed when based exclusively on office blood pressure measurements. In a large real-world cohort from Argentina, ambulatory blood pressure monitoring (ABPM) and evaluation of treatment adequacy reduced the prevalence of resistant hypertension from 12.2% to 5.8%, with inadequate pharmacological therapy and white-coat effect being the main contributors to pseudoresistance. These findings support systematic use of ABPM and optimization of antihypertensive treatment before labeling patients as truly resistant.
Identifiers
42811075What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.