Withdrawal, dependence and adverse events of antidepressants: lessons from patients and data.

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.

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.

Who cites it

4 citing papers in PubMed, 2 syntheses or guidelines pooled it.

1. Developing a translational research framework for MDD: combining biomolecular mechanisms with a spiraling risk factor model.Frontiers in psychiatry · 2024
   Pooled it
2. Antidepressants in Children and Adolescents: Meta-Review of Efficacy, Tolerability and Suicidality in Acute Treatment.Frontiers in psychiatry · 2020
   Pooled it
3. Do withdrawal symptoms predict depression relapse after antidepressant cessation?European archives of psychiatry and clinical neuroscience · 2026
   Trial
4. Psychotherapies for depression: a network meta-analysis covering efficacy, acceptability and long-term outcomes of all main treatment types.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2021
   Article

Corrections and comments

• Comment on
  Personalise antidepressant treatment for unipolar depression combining individual choices, risks and big data (PETRUSHKA): rationale and protocol.2020

Authors and funding

3 authors.

Funding

Abstract

PubMed holds no abstract for this paper.

Indexed as