Evidence map›Paper›PMID 27495352›Full record

ArticleJournal of clinical hypertension (Greenwich, Conn.)2017

Characteristics and Methodological Quality of Meta-Analyses on Hypertension Treatments-A Cross-Sectional Study.

Xin Yin Wu, Xin Jian Du, Robin S T Ho, Clarence C Y Lee, Benjamin H K Yip, Martin C S Wong, Samuel Y S Wong, Vincent C H Chung

Abstract read
In one paragraph

Article in Journal of clinical hypertension (Greenwich, Conn.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
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.

Xin Yin WuJockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
Xin Jian DuJockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
Robin S T HoJockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
Clarence C Y LeeJockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
Benjamin H K YipJockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
Martin C S WongJockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
Samuel Y S WongJockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
Vincent C H ChungJockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Methodological quality of meta-analyses on hypertension treatments can affect treatment decision-making. The authors conducted a cross-sectional study to investigate the methodological quality of meta-analyses on hypertension treatments. One hundred and fifty-eight meta-analyses were identified. Overall, methodological quality was unsatisfactory in the following aspects: comprehensive reporting of financial support (1.9%), provision of included and excluded lists of studies (22.8%), inclusion of grey literature (27.2%), and inclusion of protocols (32.9%). The 126 non-Cochrane meta-analyses had poor performance on almost all the methodological items. Non-Cochrane meta-analyses focused on nonpharmacologic treatments were more likely to consider scientific quality of included studies when making conclusions. The 32 Cochrane meta-analyses generally had good methodological quality except for comprehensive reporting of the sources of support. These results highlight the need for cautious interpretation of these meta-analyses, especially among physicians and policy makers when guidelines are formulated. Future meta-analyses should pay attention to improving these methodological aspects.

Indexed as

Antihypertensive AgentsClinical Decision-MakingCross-Sectional StudiesHumansHypertensionMeta-Analysis as TopicResearch DesignAntihypertensive Agents

Identifiers

PMID27495352
PMCPMC8030759

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.