Evidence map›Paper›PMID 41624743›Full record

ArticleIranian journal of pathology2026

Pan-PCR Diagnostic Efficacy in Comparison with Traditional Methods in Patients with Septic Arthritis.

Erta Rajabi, Kousha Farhadi, Malihe Hasannezhad, Mahsa Azadbakhsh, Alireza Abdollahi, Seyed Hadi Kalantar, Sara Ghaderkhani

Abstract read
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Article in Iranian journal of pathology, 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

7 authors.

Erta RajabiSchool of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Kousha FarhadiSchool of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Malihe HasannezhadDepartment of Infectious Disease and Tropical Medicine, School of Medicine, Imam Khomeini Hospital Complex, Iranian Research Center for HIV/AIDS, Iranian Institute for Reduction of High-Risk Behaviors, Tehran University of Medical Sciences, Tehran, Iran.
Mahsa AzadbakhshSchool of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Alireza AbdollahiDepartment of Pathology, School of Medicine, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran.
Seyed Hadi KalantarDepartment of Orthopedics, School of Medicine, Joint Reconstruction Research Center, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran.
Sara GhaderkhaniDepartment of Infectious Disease and Tropical Medicine, School of Medicine, Imam Khomeini Hospital Complex, Iranian Research Center for HIV/AIDS, Iranian Institute for Reduction of High-Risk Behaviors, Tehran University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background & Objective: Septic arthritis is an emergent condition caused by an infection of the joint synovial fluid. If left untreated, it can lead to irreversible damage to the affected joint. Our study focused on providing a concise profile of the Iranian population and the diagnostic roles of synovial pan-PCR and culture. Methods: In an observational study, we evaluated the characteristics of all patients diagnosed with septic arthritis and admitted to a teaching center hospital complex. We extracted and analyzed the study of population's demographics and laboratory values. Results: This study included 50 patients diagnosed with septic arthritis. 56% of our study population were male, and the mean age was 50.48. There were significant associations between synovial WBC counts and positive synovial culture results. Further comparison of the two diagnostic methods revealed higher pan-PCR accuracy than synovial culture. Conclusion: Pan-PCR may have higher diagnostic accuracy than synovial culture in hospitalized patients with septic arthritis.

Indexed as

ArthritisCultureInfectiousPolymerase Chain Reaction

Identifiers

PMID41624743
PMCPMC12860228

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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.