Evidence map›Paper›PMID 32439913›Full record

ReviewHypertension research : official journal of the Japanese Society of Hypertension2020

Blood pressure management in an ecosystem context.

Yuichiro Yano

Abstract readReview
PubMed Publisher
In one paragraph

Review in Hypertension research : official journal of the Japanese Society of Hypertension, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Catheter-based ultrasound renal denervation in patients with resistant hypertension: the randomized, controlled REQUIRE trial.Hypertension research : official journal of the Japanese Society of Hypertension · 2022
    Trial
  2. Digital hypertension towards to the anticipation medicine.Hypertension research : official journal of the Japanese Society of Hypertension · 2023
    Review
  3. Regulatory effect of gut microbes on blood pressure.Animal models and experimental medicine · 2022
    Review
  4. Review
  5. Article
  6. Air pollution impairs endothelial function and blood pressure.Hypertension research : official journal of the Japanese Society of Hypertension · 2022
    Article
  7. Role of the microbiota in hypertension and antihypertensive drug metabolism.Hypertension research : official journal of the Japanese Society of Hypertension · 2022
    Review
  8. Frontiers in microbiology · 2022
    Article
  9. 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

1 author at 1 institution in 1 country.

Yuichiro YanoDepartment of Family Medicine and Community Health, Duke University, Durham, NC, USA. yyano@jichi.jp.
Duke University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Hippocratic text On Airs, Waters, Places advises physicians to attend to all aspects of the environment-the seasons, the wind direction, and the soil and water quality, i.e., the ecosystem-when addressing people's health. Hippocrates emphasizes that the ecosystem influences health, disease, and therapeutic choices. Now is the time to consider how this medical wisdom can be integrated into healthcare systems and utilized for people's health. This review discusses how the ecosystem can affect blood pressure (BP) in humans and provides a synthesis of the related resources available in the literature to inform the actions of healthcare providers.

Indexed as

Blood PressureClimate ChangeMicrobiotaSocial Determinants of HealthHumansHypertensionBlood pressureEcosystemHypertension

Identifiers

PMID32439913
OpenAlexW3028232335

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.