Evidence map›Paper›PMID 40155728›Full record

SynthesisJournal of human hypertension2025

Association between antihypertensive drug use and the risk of depression: a systematic review and network meta-analysis.

Jay Tewari, Khalid Ahmad Qidwai, Ajoy Tewari, Anadika Rana, Vineeta Tewari, Vanshika Singh, Rishabh Tiwari, Anuj Maheshwari, Narsingh Verma, Hemali Jha and 1 more

Abstract readSystematic ReviewNetwork Meta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Journal of human hypertension, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Jay Tewari *Department of Internal Medicine, King George's Medical University, Lucknow, India.ORCID http://orcid.org/0000-0001-5370-7403
Khalid Ahmad Qidwai *Department of Internal Medicine, King George's Medical University, Lucknow, India. khalidqidwai1@gmail.com.
Ajoy Tewari *Department of Internal Medicine, HIND Institute of Medical Sciences, Barabanki, India.ORCID http://orcid.org/0000-0001-8606-8820
Anadika RanaDepartment of Internal Medicine, King George's Medical University, Lucknow, India.
Vineeta TewariDepartment of Anatomy, Era's Lucknow Medical College & Hospital, Lucknow, India.
Vanshika SinghDepartment of Internal Medicine, King George's Medical University, Lucknow, India.
Rishabh TiwariDepartment of Psychiatry King George's Medical University, Lucknow, India.
Anuj MaheshwariDepartment of Internal Medicine, HIND Institute of Medical Sciences, Barabanki, India.
Narsingh VermaDean, Hind Institute of Medical Sciences, Ataria, India.
Hemali JhaDepartment of Internal Medicine, Integral Institute of Medical Sciences and Research, Lucknow, India.
Savneet KaurHimalayan Institute of Medical Sciences, Jollygrant, Dehradun, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypertension is the biggest and most prevalent risk factor for cardiovascular diseases. Depression is the most common psychiatric illness worldwide. Many studies have linked the development of new depression to the use of antihypertensive drugs. This meta-analysis was done to ascertain the relationship. Using standard reporting techniques a literature search was undertaken in Pubmed from inception till 10 May 2024. The risk bias assessment was done using the ROBINS-I tool. Data for the odds ratio were combined using Revman 5.4 using a random or fixed effects model. Our analysis found a significant association between beta blockers and calcium channel blockers use and the risk of developing new depression. Results for other classes of antihypertensives were not significant. The findings highlight the importance of taking into account the potential psychiatric side effects of antihypertensive drugs in people with hypertension. Physicians should stay vigilant and screen their patients for these conditions regularly.

Indexed as

Antihypertensive AgentsDepressionHypertensionCalcium Channel BlockersHumansRisk AssessmentRisk FactorsAntihypertensive AgentsCalcium Channel Blockers

Identifiers

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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.