Evidence map›Paper›PMID 20610823›Full record

ReviewClinical microbiology reviews2010

Validation of laboratory-developed molecular assays for infectious diseases.

Eileen M Burd

Abstract readReview
In one paragraph

Review in Clinical microbiology reviews, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 250 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
250citing 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

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

  1. Guideline
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  17. CRISPR/Cas diagnostics forFrontiers in bioengineering and biotechnology · 2026
    Review
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  19. Review
  20. Article

190 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

1 author.

Eileen M BurdEmory University Hospital, 1364 Clifton Rd., N.E., Atlanta, GA 30322, USA. eburd@emory.edu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular technology has changed the way that clinical laboratories diagnose and manage many infectious diseases. Excellent sensitivity, specificity, and speed have made molecular assays an attractive alternative to culture or enzyme immunoassay methods. Many molecular assays are commercially available and FDA approved. Others, especially those that test for less common analytes, are often laboratory developed. Laboratories also often modify FDA-approved assays to include different extraction systems or additional specimen types. The Clinical Laboratory Improvement Amendments (CLIA) federal regulatory standards require clinical laboratories to establish and document their own performance specifications for laboratory-developed tests to ensure accurate and precise results prior to implementation of the test. The performance characteristics that must be established include accuracy, precision, reportable range, reference interval, analytical sensitivity, and analytical specificity. Clinical laboratories are challenged to understand the requirements and determine the types of experiments and analyses necessary to meet the requirements. A variety of protocols and guidelines are available in various texts and documents. Many of the guidelines are general and more appropriate for assays in chemistry sections of the laboratory but are applied in principle to molecular assays. This review presents information that laboratories may consider in their efforts to meet regulatory requirements.

Indexed as

Validation Studies as TopicClinical Laboratory TechniquesCommunicable DiseasesHumansMolecular Diagnostic Techniques

Identifiers

PMID20610823
PMCPMC2901657

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.