Predicting Low Information Laboratory Diagnostic Tests.

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

5 citing papers in PubMed.

1. Confidence-based laboratory test reduction recommendation algorithm.BMC medical informatics and decision making · 2023
   Article
2. Detection of factors affecting kidney function using machine learning methods.Scientific reports · 2022
   Article
3. Predicting Abnormal Laboratory Blood Test Results in the Intensive Care Unit Using Novel Features Based on Information Theory and Historical Conditional Probability: Observational Study.JMIR medical informatics · 2022
   Article
4. A Machine Learning Approach to Predicting the Stability of Inpatient Lab Test Results.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2019
   Article
5. Use of Artificial Intelligence in the Search for New Information Through Routine Laboratory Tests: Systematic Review.JMIR bioinformatics and biotechnology
   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

5 authors.

Funding

Abstract