Discussion of "Statistical disease mapping for heterogeneous neuroimaging studies".

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.

1. A Markov random field model with cumulative logistic functions for spatially dependent ordinal data.Journal of applied statistics · 2024
   Article
2. Image response regression via deep neural networks.Journal of the Royal Statistical Society. Series B, Statistical methodology · 2023
   Article
3. Statistical Learning Methods for Neuroimaging Data Analysis with Applications.Annual review of biomedical data science · 2023
   Review
4. Discussion of "Statistical disease mapping for heterogeneous neuroimaging studies".The Canadian journal of statistics = Revue canadienne de statistique · 2021
   Article

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

Abstract