Evidence map›Paper›PMID 22588826›Full record

ReviewJournal of general internal medicine2012

Time to recognize our fellow travellers.

Travis B Murdoch, Allan S Detsky

Open access · bronzeAbstract readReview
In one paragraph

Review in Journal of general internal medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 37% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Travis B MurdochDepartment of Medicine, University of Toronto, Toronto, Ontario, Canada.
Allan S Detsky
University of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is increasingly apparent that human health is reliant on our fellow travellers, the innumerable microorganisms that inhabit our bodies. This realization has led to the concept of the superorganism, which suggests that shared metabolic and signalling pathways are crucial for optimal existence of both host and commensal microflora. This commentary focuses on implications of this paradigm for personalized medicine and therapeutics. Study of the microbiome, the collection of microorganisms inhabiting the body, may identify disease-associated microbial profiles with pathophysiological and diagnostic value. As with genomics, companies will emerge offering direct to consumer microbiome analysis. Probiotics can potentially modulate the superorganism for therapeutic benefit. However, the probiotics industry will need to undergo a transformation, with increased focus on stringent manufacturing guidelines and high-quality clinical trials. Ultimately, we suggest that healthcare will move beyond its prevailing focus on human physiology, and embrace the superorganism as a paradigm to understand disease.

Indexed as

MetagenomeSystems BiologyForecastingGenomicsHealth StatusHumansOntarioPrecision MedicineProbiotics

Identifiers

PMID22588826
PMCPMC3509308
OpenAlexW2144414507

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.