Evidence map›Paper›PMID 38177288›Full record

Observational studyHypertension research : official journal of the Japanese Society of Hypertension2024

The feasibility, efficacy, and safety of RDN procedure using CO

Hao-Yun Lo, Jen-Kuang Lee, Yen-Hung Lin

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Hypertension research : official journal of the Japanese Society of Hypertension, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 14% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Guideline
  2. Article
  3. Review
  4. Frontiers in physiology · 2025
    Article
  5. Aspects of renal function and renal artery anatomy as indications for renal denervation.Hypertension research : official journal of the Japanese Society of Hypertension · 2024
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Hao-Yun LoDepartment of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
Jen-Kuang LeeDepartment of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan. b85401104@gmail.com.
Yen-Hung LinDepartment of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
National Taiwan University Hospital · TWNational Yang Ming Chiao Tung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recent evidence regarding the effectiveness of renal denervation (RDN) in blood pressure control is becoming increasingly substantial. However, many studies have excluded populations with severely impaired kidney function, even though these individuals have a higher prevalence of hypertension compared to the general population, and controlling their blood pressure is more challenging. The effectiveness and safety of RDN in patients with severe chronic kidney disease (CKD) lack strong evidence support. Concerns about worsening kidney function still exist, particularly in patients with CKD stage 5. We conducted an observational study involving 10 patients who were using at least 3 different antihypertensive medications and had an estimated glomerular filtration rate (eGFR) < 45 mL/min/1.73 m

Indexed as

HypertensionRenal Insufficiency, ChronicAngiographyBlood PressureBlood Pressure Monitoring, AmbulatoryCarbon DioxideDenervationFeasibility StudiesHumansKidneyRadial ArterySympathectomyTreatment OutcomeCarbon DioxideChronic kidney disease (CKD)CO2 angiographyRadial artery approachRenal denervation (RDN)

Identifiers

PMID38177288
OpenAlexW4390598942

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.