Evidence map›Paper›PMID 28163908›Full record

ReviewF1000Research2017

Effect of antibiotics on bacterial populations: a multi-hierachical selection process.

José Luis Martínez

Abstract readReview
In one paragraph

Review in F1000Research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

32 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Evolutionary relationships and genetic diversity in theBiochemistry and biophysics reports · 2025
    Article
  7. Article
  8. Ultrastructural and morphological studies on variables affectingCell surface (Amsterdam, Netherlands) · 2024
    Article
  9. Article
  10. Article
  11. Evaluation of a Tetracycline-ResistantPathogens (Basel, Switzerland) · 2023
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Growth kinetics of multipleF1000Research · 2022
    Article
  18. Article
  19. Review
  20. 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

1 author.

José Luis MartínezCentro Nacional de Biotecnología, Consejo Superior de Investigaciones Científicas, Calle Darwin, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibiotics have been widely used for a number of decades for human therapy and farming production. Since a high percentage of antibiotics are discharged from the human or animal body without degradation, this means that different habitats, from the human body to river water or soils, are polluted with antibiotics. In this situation, it is expected that the variable concentration of this type of microbial inhibitor present in different ecosystems may affect the structure and the productivity of the microbiota colonizing such habitats. This effect can occur at different levels, including changes in the overall structure of the population, selection of resistant organisms, or alterations in bacterial physiology. In this review, I discuss the available information on how the presence of antibiotics may alter the microbiota and the consequences of such alterations for human health and for the activity of microbiota from different habitats.

Indexed as

antibioticantibiotic resistanceantibiotic-resistant mutantsantibiotic stressbiofilmclostridium difficilemicrobiomemobile genetic elementsubinhibitory concentrations of antibiotics

Identifiers

PMID28163908
PMCPMC5247793

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.