Evidence map›Paper›PMID 34319148›Full record

ReviewClinical microbiology reviews2021

The Standardization and Control of Serology and Nucleic Acid Testing for Infectious Diseases.

Wayne Dimech

Abstract readReview
In one paragraph

Review in Clinical microbiology reviews, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–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

11 citing papers in PubMed.

  1. [Screening of Hepatitis C virus in blood donors over 11 years].Revista medica del Instituto Mexicano del Seguro Social · 2026
    Observational
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  4. Review
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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.

Wayne DimechNational Serology Reference Laboratory, Fitzroy, Victoria, Australia.ORCID 0000-0003-3425-9419

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Historically, the detection of antibodies against infectious disease agents was achieved using test systems that utilized biological functions such as neutralization, complement fixation, hemagglutination, or visualization of binding of antibodies to specific antigens, by testing doubling dilutions of the patient sample to determine an endpoint. These test systems have since been replaced by automated platforms, many of which have been integrated into general medical pathology. Methods employed to standardize and control clinical chemistry testing have been applied to these serology tests. However, there is evidence that these methods are not suitable for infectious disease serology. An overriding reason is that, unlike testing for an inert chemical, testing for specific antibodies to infectious disease agents is highly variable; the measurand for each test system varies in choice of antigen, antibody classes/subclasses, modes of detection, and assay kinetics, and individuals' immune responses vary with time after exposure, individual immune-competency, nutrition, treatment, and exposure to variable circulating sero- or genotypes or organism mutations. Therefore, unlike that of inert chemicals, the quantification of antibodies cannot be standardized using traditional methods. However, there is evidence that the quantification of nucleic acid testing, reporting results in international units, has been successful across many viral load tests. Similarly, traditional methods used to control clinical chemistry testing, such as Westgard rules, are not appropriate for serology testing for infectious diseases, mainly due to variability due to frequent reagent lot changes. This review investigates the reasons why standardization and control of infectious diseases should be further investigated and more appropriate guidelines should be implemented.

Indexed as

Communicable DiseasesNucleic AcidsHumansNucleic Acid Amplification TechniquesReference StandardsSerologic TestsNucleic Acidscontrolinfectious diseaseinternational standardsrun controlstandardization

Identifiers

PMID34319148
PMCPMC8404693

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.