ReviewJournal of clinical hypertension (Greenwich, Conn.)2018
Antihypertensive treatment and renal protection: Is there a J-curve relationship?
Review in Journal of clinical hypertension (Greenwich, Conn.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Adherence to antihypertensives in the United States: A comparative meta-analysis of 23 million patients.Journal of clinical hypertension (Greenwich, Conn.) · 2024Pooled it
- Challenges and Perspectives in Optimising the Treatment of Arterial Hypertension: Role of the Ramipril-Amlodipine-Hydrochlorothiazide Single-Pill Combination.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2026Review
- Blood Pressure Control in Patients with Diabetic Kidney Disease.Electrolyte & blood pressure : E & BP · 2022Review
- Effects of dual inhibition of renin-angiotensin-aldosterone system on cardiovascular and renal outcomes: balancing the risks and the benefits.Internal and emergency medicine · 2020Review
- Observational
- Antihypertensive Treatment in Diabetic Kidney Disease: The Need for a Patient-Centered Approach.Medicina (Kaunas, Lithuania) · 2019Review
- Chronic kidney disease in low-middle income populations: a call to action for screening and prevention.Internal and emergency medicine · 2019Article
- Factors Associated with Visit-to-Visit Variability of Blood Pressure Measured as Part of Routine Clinical Care among Patients Attending Cardiology Outpatient Department of a Tertiary Care Centre in Northern Sri Lanka.International journal of hypertension · 2019Article
- Antihypertensive treatment and renal protection: Is there a J-curve relationship?Journal of clinical hypertension (Greenwich, Conn.) · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A bidirectional relationship between hypertension and kidney disease, with one exacerbating the effect of the other, is well established. Elevated blood pressure (BP) is a well-recognized, modifiable risk factor for cardiovascular (CV) disease as well as for development and progression of chronic kidney disease and, therefore, the identification of optimal BP target is a key issue in the management of renal patients. Recent large trials and real life cohort studies have indicated that below a definite BP value renal protection seems to plateau and too low levels may even be associated with a paradoxical increase in renal morbidity, thus reviving the debate about the so called BP -renal function J-curve relationship. Existing evidence supports a systolic target around 130 mm Hg to combine both renal and CV protection and possibly lower levels in the presence of overt proteinuria.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.