Evidence map›Paper›PMID 39483552›Full record

ReviewCureus2024

Utility of Matrix-Assisted Laser Desorption Ionization Time-of-Flight Mass Spectrometry in Periprosthetic Joint Infection Diagnosis.

Emanuel-Cristian Sandu, Adrian Cursaru, Sergiu Iordache, Bogdan Serban, Mihai Aurel Costache, Catalin Cirstoiu

Abstract readReview
In one paragraph

Review in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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.

Emanuel-Cristian SanduOrthopedics and Traumatology, Faculty of Medicine, University of Medicine and Pharmacy "Carol Davila", Bucharest, ROU.
Adrian CursaruOrthopedics and Traumatology, University Emergency Hospital, Bucharest, ROU.
Sergiu IordacheOrthopedics and Traumatology, University Emergency Hospital, Bucharest, ROU.
Bogdan SerbanOrthopedics and Traumatology, Faculty of Medicine, University of Medicine and Pharmacy "Carol Davila", Bucharest, ROU.
Mihai Aurel CostacheOrthopedics and Traumatology, University Emergency Hospital, Bucharest, ROU.
Catalin CirstoiuOrthopedics and Traumatology, Faculty of Medicine, University of Medicine and Pharmacy "Carol Davila", Bucharest, ROU.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the most feared complications of arthroplasty surgery is septic loosening. Periprosthetic joint infection (PJI) requires an accurate and fast diagnosis, and identification of pathogen microorganisms is essential for successful treatment. While standard bacteriological cultures can identify bacteria in seven to 14 days with sensitivity ranging from 35% to 70% that could further be increased by sonication of the explanted prosthesis, we would like to review a more novel and faster method of PJI detection and bacterial identification. Matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF/MS) is a technique that identifies bacteria based on peptides and protein ions from the cell surface, comparing the obtained results within a database. While MALDI-TOF/MS is not a novel method, being already successfully used in microbiology, its role in PJI is still being researched. With this paper, we would like to reveal the current state of development in implementing MALDI-TOF/MS as an alternative or auxiliary test to classic bacterial cultures in orthopedic implant infectious pathology to increase the accuracy of detecting and identifying bacteria.

Indexed as

differential diagnosesdirect maldi-tof-msmaldi-tof-msorthopedic implant related infectionprosthetic joint infection (pji)

Identifiers

PMID39483552
PMCPMC11527459

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.