Evidence map›Paper›PMID 25038100›Full record

ReviewApplied and environmental microbiology2014

Dead or alive: molecular assessment of microbial viability.

Gerard A Cangelosi, John S Meschke

Abstract readReview
In one paragraph

Review in Applied and environmental microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 141 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
141citing papers in PubMed, 3 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

141 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. AI-Enabled Imaging for Pathogen Detection Under Stress Conditions: A Systematic Review.Comprehensive reviews in food science and food safety · 2026
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Article
  7. Establishment of methods for the detection ofVeterinary and animal science · 2026
    Article
  8. Article
  9. Review
  10. Identifying viableMicrobiology spectrum · 2026
    Article
  11. Review
  12. Altered distribution of chronicity-deficientMicrobiology (Reading, England) · 2026
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Towards precision management ofFrontiers in cellular and infection microbiology · 2026
    Article
  18. Article
  19. Article
  20. Article

81 more citing papers are in PubMed but not listed here.

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.

Gerard A CangelosiDepartment of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA gcang@uw.edu.
John S MeschkeDepartment of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nucleic acid-based analytical methods, ranging from species-targeted PCRs to metagenomics, have greatly expanded our understanding of microbiological diversity in natural samples. However, these methods provide only limited information on the activities and physiological states of microorganisms in samples. Even the most fundamental physiological state, viability, cannot be assessed cross-sectionally by standard DNA-targeted methods such as PCR. New PCR-based strategies, collectively called molecular viability analyses, have been developed that differentiate nucleic acids associated with viable cells from those associated with inactivated cells. In order to maximize the utility of these methods and to correctly interpret results, it is necessary to consider the physiological diversity of life and death in the microbial world. This article reviews molecular viability analysis in that context and discusses future opportunities for these strategies in genetic, metagenomic, and single-cell microbiology.

Indexed as

Cell Membrane PermeabilityMetagenomicsMicrobial ViabilityBacteriaDNA, BacterialPolymerase Chain ReactionRNA, BacterialRNA PrecursorsDNA, BacterialRNA, BacterialRNA Precursors

Identifiers

PMID25038100
PMCPMC4178667

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.