Sample Adequacy Control for Negative Molecular Results: An Integrated Specimen-Process Framework to Strengthen Result Interpretation

Sample adequacy control (SAC) is a validated specimen-specific marker or metric, threshold, and reporting rule used to decide whether a negative molecular result is supported by the submitted specimen. SAC is not simply a cell-count or biomass check. Depending on specimen type and target, an unsupported negative result may reflect insufficient or nonrepresentative material, adequacy-marker degradation, inefficient transfer or extraction, matrix-associated inhibition, or mismatch between marker and anatomical compartment. SAC is therefore best understood as an integrated specimen-process adequacy control for negative-result interpretation. Its result should be reported as valid, borderline, or invalid for the intended negative interpretation, not as detected/not detected like the disease-specific biomarker. This perspective synthesizes quantitative polymerase chain reaction (qPCR) control guidance, preanalytical-quality literature, respiratory and enteric sampling studies, human papillomavirus (HPV) evidence, cartridge-assay precedents, and decentralized workflows. Direct prospective evidence that SAC improves patient or epidemiologic outcomes remains limited; available evidence is outcome-adjacent or operational, including HPV cellularity-control associations, Chlamydia trachomatis/Neisseria gonorrhoeae (CT/NG) and Ebola cartridge precedents, respiratory workflows showing lower pathogen positivity at higher SAC quantification cycle (Cq) strata, and reporting rules that change validity or recollection decisions. We propose a risk-based framework for selecting, validating, reporting, and monitoring SAC, with particular value in direct-amplification, point-of-care, and self-collection workflows where preanalytical failures affect negative-result interpretation.

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Publication Details

Journal
LabMed
Published
2026-06-30
DOI
https://doi.org/10.3390/labmed3030016
Primary Topic
Clinical Laboratory Practices and Quality Control
Type
article
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article

Sample Adequacy Control for Negative Molecular Results: An Integrated Specimen-Process Framework to Strengthen Result Interpretation

Ivan Brukner, Shaun Eintracht, Matthew T. Oughton
LabMed
Clinical Laboratory Practices and Quality Control
article

Sample Adequacy Control for Negative Molecular Results: An Integrated Specimen-Process Framework to Strengthen Result Interpretation

Ivan Brukner, Shaun Eintracht, Matthew T. Oughton
article en

Abstract

Sample adequacy control (SAC) is a validated specimen-specific marker or metric, threshold, and reporting rule used to decide whether a negative molecular result is supported by the submitted specimen. SAC is not simply a cell-count or biomass check. Depending on specimen type and target, an unsupported negative result may reflect insufficient or nonrepresentative material, adequacy-marker degradation, inefficient transfer or extraction, matrix-associated inhibition, or mismatch between marker and anatomical compartment. SAC is therefore best understood as an integrated specimen-process adequacy control for negative-result interpretation. Its result should be reported as valid, borderline, or invalid for the intended negative interpretation, not as detected/not detected like the disease-specific biomarker. This perspective synthesizes quantitative polymerase chain reaction (qPCR) control guidance, preanalytical-quality literature, respiratory and enteric sampling studies, human papillomavirus (HPV) evidence, cartridge-assay precedents, and decentralized workflows. Direct prospective evidence that SAC improves patient or epidemiologic outcomes remains limited; available evidence is outcome-adjacent or operational, including HPV cellularity-control associations, Chlamydia trachomatis/Neisseria gonorrhoeae (CT/NG) and Ebola cartridge precedents, respiratory workflows showing lower pathogen positivity at higher SAC quantification cycle (Cq) strata, and reporting rules that change validity or recollection decisions. We propose a risk-based framework for selecting, validating, reporting, and monitoring SAC, with particular value in direct-amplification, point-of-care, and self-collection workflows where preanalytical failures affect negative-result interpretation.

LabMedVol. 3(3)
Jewish General Hospital (CA), McGill University (CA)
Good health and well-being
Openalex Percentile: Top 8%
Clinical Laboratory Practices and Quality Control
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