ArticleCell2020
SLeuthing Tuberculous Cough.
Article in Cell, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed, 6 citations in OpenAlex.
- The lipid language of tuberculosis:mBio · 2026Review
- Experimental dissection of tuberculosis protective immunity: a human perspective.Frontiers in cellular and infection microbiology · 2025Review
- From pain to meningitis: bacteria hijack nociceptors to promote meningitis.Frontiers in immunology · 2024Review
- DoesVeterinary medicine international · 2021Review
Corrections and comments
- Comment on
Authors and funding
3 authors at 2 institutions in 3 countries.
Funding
Abstract
Cough, a hallmark of tuberculosis, transmits the disease. Ruhl et al. find that a Mycobacterium tuberculosis (Mtb)-specific lipid, SL-1, stimulates human nociceptive neurons and makes guinea pigs cough. Mtb extract, but not SL-1, also stimulates non-nociceptive neurons that participate in the cough reflex, suggesting additional cough-inducing mechanisms.
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.