Evidence map›Paper›PMID 23967388›Full record

ArticleGMS hygiene and infection control2013

Bacteriology swabs in primary total knee arthroplasty.

Maximilian Haenle, Andreas Podbielski, Martin Ellenrieder, Andreas Mundt, Helga Krentz, Wolfram Mittelmeier, Ralf Skripitz

Open access · greenAbstract read
In one paragraph

Article in GMS hygiene and infection control, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 39% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

7 authors at 1 institution in 1 country.

Maximilian HaenleDepartment of Orthopaedic Surgery, University Medicine Rostock, Rostock, Germany.
Andreas Podbielski
Martin Ellenrieder
Andreas Mundt
Helga Krentz
Wolfram Mittelmeier
Ralf Skripitz
Universitätsmedizin Rostock · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAn early detection of possible periprosthetic infection may lead to an earlier and potentially less invasive treatment of infected total knee arthroplasty TKA). The purpose of the present study was to evaluate retrospectively our current, affordable clinical practice of intra-operative swab taking during primary TKA.

methodsA total of 206 primary TKA were analysed retrospectively for intra-operative bacteriology swabs and subsequent periprosthetic infection. All bacteriology swabs were obtained in a standardized manner including a tissue sample. Data was statistically evaluated concerning standard descriptive statistics and using the chi-square test.

resultsBacteria were identified in 43.4% with coagulase-negative staphylococci being the most frequently isolated pathogens (52.2%). Regarding the contingency tables and chi-squared tests, generally no association was found between positive intra-operative swabs and subsequent periprosthetic infection as well as all other parameters investigated (timing of the antibiotic prophylaxis and pre-operative laboratory results).

conclusionsBacteriology swabs during primary total knee arthroplasty are no adequate measure to predict subsequent periprosthetic infections, even if augmented with a tissue sample.

Indexed as

intra-operative bacteriology swabintra-operative tissue sampleperi-operative antibiotic prophylaxisperiprosthetic infectionpre-operative laboratory infection markerstotal knee arthroplasty

Identifiers

PMID23967388
PMCPMC3746596
OpenAlexW1430666290

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.