Evidence map›Paper›PMID 30460041›Full record

ArticleClinical hypertension2018

Are the effects of blood pressure lowering treatment diminishing?: meta-regression analyses.

Yoichi Sekizawa, Yoko Konishi, Moriyo Kimura

Abstract read
In one paragraph

Article in Clinical hypertension, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

3 authors.

Yoichi Sekizawa1Research Institute of Economy, Trade and Industry, 1-3-1 Kasumigaseki Chiyoda-ku, Tokyo, 100-8901 Japan.ORCID 0000-0001-6563-6358
Yoko Konishi1Research Institute of Economy, Trade and Industry, 1-3-1 Kasumigaseki Chiyoda-ku, Tokyo, 100-8901 Japan.
Moriyo KimuraThe Public Health Institute, 3-3-23-104, Sendagaya Shibuya-ku, Tokyo, 151-0051 Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious studies have suggested that the effects of medical interventions tend to diminish over time. We investigated whether the effects of blood pressure lowering treatment on all-cause mortality and stroke have diminished over time.

methodsWe conducted meta-regression analyses. We extracted the target trials from two recently published comprehensive systematic reviews and meta-analyses. Adopted variables were relative risk (RR) of all-cause mortality and stroke, trial start year, mean age, sample size, baseline systolic blood pressure (SBP), difference in attained SBP reduction between intervention groups and control groups (SBP difference), and regional dummies. We implemented single meta-regressions, in which the dependent variable was the log of RR and the explanatory variable was each of other adopted variables. We also conducted multiple meta-regressions, in which the dependent variable was the log of RR and explanatory variables were all of other adopted variables. Our variable of greatest interest was trial start year.

resultsThe included reviews assessed 85 trials with a total of 343,126 participants. Although trial start year was positively associated with the log of RR in the results of single meta-regressions, it lost significance in multiple meta-regressions for both all-cause mortality and stroke.

conclusionsThe effects of blood pressure lowering treatment on all-cause mortality and stroke have not diminished over time.

Indexed as

All-cause mortalityBlood pressure lowering treatmentDiminishing effectMeta-regressionStrokeTemporal trend

Identifiers

PMID30460041
PMCPMC6237040

What OpenQuestion holds

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Registered trials

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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.