Evidence map›Paper›PMID 42695504›Full record

ArticleAnalytical chemistry2026

Limit of Blank Variability as a Determinant of Analytical Sensitivity in a DNA-Binding Dye-Based Digital Polymerase Chain Reaction for the Detection of Chlamydia pneumoniae.

Theresa Kaudela, Eveliina Taavitsainen-Wahlroos, Leena Hanski

Abstract read
In one paragraph

Article in Analytical chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Theresa KaudelaDivision of Pharmaceutical Biosciences, Faculty of Pharmacy, University of Helsinki, 00014Helsinki, Finland.ORCID 0009-0001-1248-2321
Eveliina Taavitsainen-WahlroosDivision of Pharmaceutical Biosciences, Faculty of Pharmacy, University of Helsinki, 00014Helsinki, Finland.ORCID 0000-0003-1337-5998
Leena HanskiDivision of Pharmaceutical Biosciences, Faculty of Pharmacy, University of Helsinki, 00014Helsinki, Finland.ORCID 0000-0002-3121-8542

Funding

KAUTE-S??ti? 20230508Opetus- ja Kulttuuriministeri? NAResearch Council of Finland 333291Research Council of Finland 358425
6 · The paper itself

Abstract

Digital PCR is considered a highly sensitive technique for detecting low-abundance DNA in samples containing excess background DNA. This is particularly relevant for Chlamydia pneumoniae infections, as this obligatory intracellular bacterium can be disseminated by phagocytes from the respiratory tract throughout the whole body. Although persistent bacteria are associated with chronic inflammatory diseases, currently, no diagnostic tools for persistent C. pneumoniae infections exist. In this study, an EvaGreen-based digital PCR assay targeting the chlamydial 16S rRNA gene was initially developed for the QX200 Droplet Digital PCR system; however, poor target recovery, insufficient restriction enzyme digest, and incompatibility with the DNA isolation workflow limited assay performance. Consequently, the assay was redesigned to target the chlamydial groL gene. Analytical performance was determined according to the Clinical and Laboratory Standards Institute (CLSI) EP17-A guideline and the ISO 20395:2019 standard. Notably, the limit of blank varied up to 4-fold between different PCR reagent lots, substantially affecting limit of detection estimates and assay interpretation at low-level. These findings demonstrate the critical importance of assay specification and reagent validation for diagnostics with DNA-binding dye-based assays. Nested PCR exhibited superior analytical sensitivity over the digital PCR assays, yet the limited throughput and increased handling complexity of nested PCR restrict its suitability for routine diagnostic applications. Overall, this study highlights important practical limitations and validation requirements for highly sensitive molecular diagnostic assays.

Identifiers

PMID42695504
PMCPMC13584697

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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.