Evidence map›Paper›PMID 15172342›Full record

ReviewThe Lancet. Infectious diseases2004

PCR-based diagnostics for infectious diseases: uses, limitations, and future applications in acute-care settings.

Samuel Yang, Richard E Rothman

Abstract readReview
In one paragraph

Review in The Lancet. Infectious diseases, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 428 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
428citing papers in PubMed, 4 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

428 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Mapping the oral resistome: a systematic review.Journal of medical microbiology · 2024
    Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Article
  7. Article
  8. Review
  9. Article
  10. Entropy-Driven Physical Amplification in Multivalent Biosensing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
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  18. Review
  19. Towards deployable CRISPR-based nucleic acid detection.Progress in biomedical engineering (Bristol, England) · 2026
    Review
  20. Article

368 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.

Samuel YangDepartment of Emergency Medicine, The Johns Hopkins University, School of Medicine, Baltimore, MD 21205, USA.
Richard E Rothman

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular diagnostics are revolutionising the clinical practice of infectious disease. Their effects will be significant in acute-care settings where timely and accurate diagnostic tools are critical for patient treatment decisions and outcomes. PCR is the most well-developed molecular technique up to now, and has a wide range of already fulfilled, and potential, clinical applications, including specific or broad-spectrum pathogen detection, evaluation of emerging novel infections, surveillance, early detection of biothreat agents, and antimicrobial resistance profiling. PCR-based methods may also be cost effective relative to traditional testing procedures. Further advancement of technology is needed to improve automation, optimise detection sensitivity and specificity, and expand the capacity to detect multiple targets simultaneously (multiplexing). This review provides an up-to-date look at the general principles, diagnostic value, and limitations of the most current PCR-based platforms as they evolve from bench to bedside.

Indexed as

Polymerase Chain ReactionCommunicable DiseasesHumansPoint-of-Care SystemsPredictive Value of Tests

Identifiers

PMID15172342
PMCPMC7106425

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.