Evidence map›Paper›PMID 26914754›Full record

ArticleJournal of experimental orthopaedics2014

Polymerase Chain Reaction molecular diagnostic technology for monitoring chronic osteomyelitis.

Brian D Mariani, Daniel S Martin, Antonia F Chen, Haruyo Yagi, Sheldon S Lin, Rocky S Tuan

Open access · goldAbstract read
In one paragraph

Article in Journal of experimental orthopaedics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 35% of its field
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

5 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Molecular diagnostics.The Journal of the American Academy of Orthopaedic Surgeons · 2015
    Article
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

6 authors at 4 institutions in 1 country.

Brian D MarianiDepartment of Orthopaedic Surgery, Thomas Jefferson University, Philadelphia, PA, USA. bmariani@givf.com.
Daniel S MartinDepartment of Orthopaedic Surgery, Thomas Jefferson University, Philadelphia, PA, USA. danscottmartin@yahoo.com.
Antonia F ChenCenter for Cellular and Molecular Engineering, Department of Orthopaedic Surgery, University of Pittsburgh School of Medicine, 450 Technology Drive, Pittsburgh, 15219, PA, USA. antoniachen1@gmail.com.
Haruyo YagiCenter for Cellular and Molecular Engineering, Department of Orthopaedic Surgery, University of Pittsburgh School of Medicine, 450 Technology Drive, Pittsburgh, 15219, PA, USA. hai8@pitt.edu.
Sheldon S LinDepartment of Orthopaedic Surgery, Thomas Jefferson University, Philadelphia, PA, USA. linsheldon@aol.com.
Rocky S TuanDepartment of Orthopaedic Surgery, Thomas Jefferson University, Philadelphia, PA, USA. rst13@pitt.edu.
Thomas Jefferson University · USUniversity of Pittsburgh · USGenetics and IVF Institute · USUniversity Hospital, Newark · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOsteomyelitis is a devastating condition whose treatment relies on the detection of bacteria. The current standard of microbiology culture may not be adequate. Molecular biology based diagnostic procedures for detecting bacteria in orthopaedic infections was previously established, but has not been applied to the setting of chronic osteomyelitis. We aim to determine the applicability of molecular diagnostic procedures for monitoring chronic osteomyelitis, and to evaluate if these procedures are superior to standard culture methods of osteomyelitis detection.

methodsA rabbit experimental model of chronic osteomyelitis was used; infection was induced in the proximal, medial aspect of the tibia with Staphylococcus aureus at titers ranging from 1 × 10(2) to 1 × 10(6) colony forming units. At 28 days post-infection, animals were sacrificed, and the tibias were examined radiographically, harvested, and assayed for the presence of bacteria. Two bacterial detection methods were used: (1) standard microbiological culturing, and (2) polymerase chain reaction (PCR) based diagnostic method to detect bacterial genomic DNA.

resultsThe molecular diagnostic method was highly sensitive and accurate, and detected low titer infections that were undetected by radiographic and microbiological methods. By using two sets of PCR primers, one for a universal bacterial gene (16S rRNA) and one for a species-specific gene (nuc), the molecular protocol allowed both the detection and speciation of the bacterial infection.

conclusionsThe use of the PCR-based method was effective for high-sensitivity detection and identification of bacteria associated with chronic osteomyelitis in a rabbit model. Our findings illustrate the applicability of PCR for monitoring chronic osteomyelitis, which may be useful for improved detection of osteomyelitis organisms in humans.

Indexed as

Bacterial infectionMolecular diagnosisOsteomyelitisPolymerase chain reactionStaphylococcus aureus

Identifiers

PMID26914754
PMCPMC4648848
OpenAlexW2158786085

What OpenQuestion holds

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LicenceCC BY
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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.