Machine learning-guided intervention trials to predict treatment response at an individual patient level: an important second step following randomized clinical trials.

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

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

1. Predicting criminal and violent outcomes in psychiatry: a meta-analysis of diagnostic accuracy.Translational psychiatry · 2022
   Pooled it
2. A machine learning approach predicts improvement of physical exercise capacity based on pulse wave analysis in coronary artery disease patients.Journal of sport and health science · 2026
   Article
3. Applications of artificial intelligence-machine learning for detection of stress: a critical overview.Molecular psychiatry · 2024
   Review
4. Artificial Intelligence for Mental Health Care: Clinical Applications, Barriers, Facilitators, and Artificial Wisdom.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2021
   Review
5. Molecular Psychiatry, August 2020: new impact factor, and highlights of recent advances in psychiatry, including an overview of the brain's response to stress during infection with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).Molecular psychiatry · 2020
   Article
6. Precision non-implantable neuromodulation therapies: a perspective for the depressed brain.Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999) · 2020
   Article
7. Advances in schizophrenia research: first special issue, 2020.Molecular psychiatry · 2020
   Article

Corrections and comments

• Comment on
  Treatment response prediction and individualized identification of first-episode drug-naïve schizophrenia using brain functional connectivity.2020

Authors and funding

2 authors.

Funding

No grant is acknowledged in the PubMed record.

Abstract

PubMed holds no abstract for this paper.

Indexed as