Evidence map›Paper›PMID 38639831›Full record

ArticleJournal of general internal medicine2024

Dihydropyridine Calcium Channel Blockers and Kidney Outcomes.

Matthew F Blum, Aditya Surapaneni, Alexander Chang, Lesley A Inker, Teresa K Chen, Lawrence J Appel, Jung-Im Shin, Morgan E Grams

Open access · bronzeAbstract read
In one paragraph

Article in Journal of general internal medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
3.3field-weighted citation impact, top 9% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Clinical trial emulation in nephrology.Journal of nephrology · 2025
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 6 institutions in 1 country.

Matthew F BlumDivision of Nephrology, Department of Medicine, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA. mblum@medicine.wisc.edu.ORCID 0000-0003-4357-6926
Aditya SurapaneniDivision of Precision Medicine, Department of Medicine, New York University Grossman School of Medicine, New York, NY, USA.
Alexander ChangMedicine Institute, Geisinger Health, Danville, PA, USA.
Lesley A InkerDivision of Nephrology, Tufts Medical Center, Boston, MA, USA.
Teresa K ChenDivision of Nephrology, Department of Medicine, University of California San Francisco, San Francisco, CA, USA.
Lawrence J AppelDepartment of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Jung-Im ShinWelch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD, USA.
Morgan E GramsDivision of Precision Medicine, Department of Medicine, New York University Grossman School of Medicine, New York, NY, USA.
Johns Hopkins University · USGeisinger Health System · USNew York University · USTufts Medical Center · USUniversity of California, San Francisco · USUniversity of Wisconsin–Madison · US

Funding

Medication Use and Adverse Events in CKDR01DK115534 · NIDDK · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Alexander R Chang, Morgan Erika Grams · 2018 to 2026
$5.7M
NHLBI Training Program in PharmacoepidemiologyT32HL139426 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI G. Caleb Alexander, JODI B. SEGAL · 2018 to 2026
$2.5M
Prevention and Treatment of Cardiovascular Disease in Patients with Chronic Kidney Disease: Patient-Oriented Research and Mentoring - RenewalK24HL155861 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Morgan Erika Grams · 2021 to 2026
$732k
The Comparative Effectiveness and Safety of Second-line Therapy in Patients with Type 2 DiabetesK01DK121825 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI SHIN, JUNG-IM · 2019 to 2022
$615k
NHLBI NIH HHS K24 HL155861NHLBI NIH HHS K24HL155861NHLBI NIH HHS T32 HL139426NHLBI NIH HHS T32HL139426NIDDK NIH HHS K01 DK121825NIDDK NIH HHS K01DK121825NIDDK NIH HHS R01 DK115534NIDDK NIH HHS R01DK115534
6 · The paper itself

Abstract

backgroundEarly trials of dihydropyridine calcium channel blockers (DCCBs) suggest a detrimental effect on intraglomerular pressure and an association with albuminuria.

objectiveWe sought to evaluate the associations of DCCB initiation with albuminuria and kidney failure with replacement therapy (KFRT) and to determine whether renin-angiotensin system (RAS) blockade modified these associations.

designWe conducted a target trial emulation study using a new user, active comparator design and electronic health record data from Geisinger Health.

participantsWe included patients without severe albuminuria or KFRT who were initiated on a DCCB or thiazide (active comparator) between January 1, 2004, and December 31, 2019. MAIN MEASURES: Using inverse probability of treatment weighting, we performed doubly robust Cox proportional hazards regression to estimate the association of DCCB initiation with incident severe albuminuria (urine albumin to creatinine ratio > 300 mg/g) and KFRT, overall and stratified by RAS blocker use. KEY

resultsThere were 11,747 and 26,758 eligible patients initiating a DCCB and thiazide, respectively, with a weighted baseline mean age of 60 years, systolic blood pressure of 143 mm Hg, and eGFR of 86 mL/min/1.73 m

conclusionsDCCBs were associated with increased risk of albuminuria and, in the absence of RAS blockade, KFRT. These findings suggest coupling DCCB therapy with RAS blockade may mitigate adverse kidney outcomes.

Indexed as

AlbuminuriaCalcium Channel BlockersAgedDihydropyridinesFemaleGlomerular Filtration RateHumansMaleMiddle AgedCalcium Channel BlockersDihydropyridinesalbuminuriacalcium channel blockershypertensionkidney failure

Identifiers

PMID38639831
PMCPMC11282043
OpenAlexW4394952713

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.