Mining the diseasome.

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. GPCRs Are Optimal Regulators of Complex Biological Systems and Orchestrate the Interface between Health and Disease.International journal of molecular sciences · 2021
   Review
2. KGHC: a knowledge graph for hepatocellular carcinoma.BMC medical informatics and decision making · 2020
   Article
3. An automatic approach for constructing a knowledge base of symptoms in Chinese.Journal of biomedical semantics · 2017
   Article
4. A novel use of biomarkers in the modeling of cancer activity based on the theory of endobiogeny.Global advances in health and medicine · 2014
   Article
5. Endobiogeny: a global approach to systems biology (part 1 of 2).Global advances in health and medicine · 2013
   Review
6. Biological function through network topology: a survey of the human diseasome.Briefings in functional genomics · 2012
   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

No grant is acknowledged in the PubMed record.

Abstract

PubMed holds no abstract for this paper.