Predictive analytics: beyond the buzz.

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

6 citing papers in PubMed.

1. Machine Learning and Artificial Intelligence in Intensive Care Medicine: Critical Recalibrations from Rule-Based Systems to Frontier Models.Journal of clinical medicine · 2025
   Review
2. AI for the hemodynamic assessment of critically ill and surgical patients: focus on clinical applications.Annals of intensive care · 2025
   Review
3. New Hemodynamic Parameters in Peri-Operative and Critical Care-Challenges in Translation.Sensors (Basel, Switzerland) · 2023
   Review
4. Artificial intelligence in telemetry: what clinicians should know.Intensive care medicine · 2021
   Article
5. Artificial intelligence in intensive care medicine.Intensive care medicine · 2021
   Article
6. Prediction of fluid responsiveness in spontaneously breathing patients.Annals of translational medicine · 2020
   Review

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

Authors and funding

2 authors.

Funding

No grant is acknowledged in the PubMed record.

Abstract

PubMed holds no abstract for this paper.