Evidence map›Paper›PMID 42517638›Full record

ArticleMicrobiology spectrum2026

The diagnostic potential of combined quantitative polymerase chain reaction and next-generation sequencing using the same primers for periprosthetic joint infection.

Narumi Ueda, Jun Inoue, Kazuyuki Okuda, Hirokazu Iida

Abstract read
In one paragraph

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

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

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

4 authors.

Narumi UedaDepartment of Orthopedic Surgery, Japanese Red Cross Wakayama Medical Center, Komatsubara-dori, Wakayama City, Wakayama, Japan.ORCID 0000-0002-8123-5121
Jun InoueDivision of Gastroenterology, Department of Internal Medicine, Kobe University Graduate School of Medicine, Chuo-ku, Kusunoki-cho, Kobe, Hyogo, Japan.
Kazuyuki OkudaDepartment of Genome Analysis Center, Kansai Medical University Medical Center, Kansai Medical University, Fumizono-cho, Moriguchi, Osaka, Japan.
Hirokazu IidaDepartment of Rehabilitation, Kansai Medical University, Uyamahigashi-cho, Hirakata, Osaka, Japan.

Funding

Japanese Society for Replacement Arthroplasty Foundation 2026-RP04Japan Society for the Promotion of Science 17K16707Japan Society for the Promotion of Science 20K18045Japan Society for the Promotion of Science 23K08641
6 · The paper itself

Abstract

Next-generation sequencing (NGS) enables the detection of specific pathogens unidentifiable by conventional cultures, but its application in orthopedics remains inconsistent due to background contamination and irreproducible findings. This study evaluated the diagnostic performance of a novel workflow combining broad-range 16S rRNA gene quantitative PCR (qPCR) screening with downstream NGS, focusing on bacterial biomass thresholds. The qPCR assay demonstrated excellent intrarater reliability, with an intraclass correlation coefficient (ICC) of 0.961 (95% confidence interval, 0.881 to 0.997). Based on serially diluted positive controls, a quantitative threshold of 10⁵ CFU/mL was established as the minimum concentration required for the consistent detection of fastidious taxa, such as

Indexed as

BacteriaHigh-Throughput Nucleotide SequencingProsthesis-Related InfectionsReal-Time Polymerase Chain ReactionDNA, BacterialDNA PrimersHumansRNA, Ribosomal, 16SSensitivity and SpecificityDNA, BacterialDNA PrimersRNA, Ribosomal, 16Smolecular diagnosticsnext-generation sequencingoral bacteriaperiprosthetic joint infectionquantitative polymerase chain reaction

Identifiers

PMID42517638
PMCPMC13532281

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.