ArticlePLoS biology2023
Pituitary-immune bidirectional crosstalk under systemic inflammation.
Article in PLoS biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
- Inter-organ crosstalk in systemic inflammation: a narrative review of molecular mechanisms and pharmacological modulation in the muscle-adipose-liver axis.Frontiers in pharmacology · 2026Review
- Robot-Assisted Colorectal Cancer Surgery Mitigates Early Postoperative Immunosuppression and Angiogenesis.International journal of molecular sciences · 2025Article
Corrections and comments
- Comment on
Authors and funding
1 author.
Funding
Abstract
The pituitary gland responds to and modulates immune stress through the hypothalamus-pituitary-adrenal axis. A new study in PLOS Biology reveals unconventional bidirectional communication between hormone-producing cells and the immune system upon systemic inflammation.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.