Evidence map›Paper›PMID 33312492›Full record

ArticleOrthopedic reviews2020

Microbial findings and the role of difficult-to-treat pathogens in patients with periprosthetic infection admitted to the intensive care unit.

Christopher Ull, Emre Yilmaz, Hinnerk Baecker, Thomas Armin Schildhauer, Christian Waydhas, Uwe Hamsen

Open access · goldAbstract read
In one paragraph

Article in Orthopedic reviews, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 19% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Observational
  6. [Experimental study of silkworm larvae plasma colorimetry based on immune cascade reaction in accurate diagnosis of periprosthetic joint infection].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2022
    Article
  7. 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 1 institution in 1 country.

Christopher UllDepartment of General and Trauma Surgery, BG University Hospital Bergmannsheil, Bochum.
Emre YilmazDepartment of General and Trauma Surgery, BG University Hospital Bergmannsheil, Bochum.
Hinnerk BaeckerDepartment of General and Trauma Surgery, BG University Hospital Bergmannsheil, Bochum.
Thomas Armin SchildhauerDepartment of General and Trauma Surgery, BG University Hospital Bergmannsheil, Bochum.
Christian WaydhasDepartment of General and Trauma Surgery, BG University Hospital Bergmannsheil, Bochum.
Uwe HamsenDepartment of General and Trauma Surgery, BG University Hospital Bergmannsheil, Bochum.
BG University Hospital Bergmannsheil Bochum · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Little is known about patients with Periprosthetic Joint Infection (PJI) admitted to the Intensive Care Unit (ICU). The purpose of this study was threefold: i) To report the microbiological findings of ICUpatients with PJI. ii) To compare the clinical data between Difficult-To-Treat (DTT) and non-DTT PJI. iii) To identify risk factors for mortality. This is a retrospective study from a tertiary healthcare center in Germany from 2012-2016. A total of 124 patients with 169 pathogens were included. The most common bacteria were

Indexed as

Difficult-to-treatintensive care unitmortalityperiprosthetic joint infection

Identifiers

PMID33312492
PMCPMC7726818
OpenAlexW3107858177

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.