Evidence map›Paper›PMID 31471415›Full record

ArticleIn vivo (Athens, Greece)

Integrated IT Platform for Coordination of Diagnosis, Treatment, and Aftercare of Prosthetic Joint Infections.

Christian Suren, Susanne Feihl, Christiane Querbach, Patrick Rämer, Florian Pohlig, Jakob Thurner, Rudolf Bernard, Dirk Busch, Rüdiger VON Eisenhart-Rothe, Heinrich Maria Laurentius Mühlhofer

Open access · diamondAbstract read
In one paragraph

Article in In vivo (Athens, Greece). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 41% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

10 authors at 3 institutions in 1 country.

Christian SurenDepartment for Orthopedics and Sports Orthopedics, Technical University Munich, Munich, Germany christian.suren@mri.tum.de.
Susanne FeihlInstitute for Medical Microbiology, Immunology and Hygiene, Technical University Munich, Munich, Germany.
Christiane QuerbachApotheke, Klinikum rechts der Isar, Technical University Munich, Munich, Germany.
Patrick RämerInstitute for Medical Microbiology, Immunology and Hygiene, Technical University Munich, Munich, Germany.
Florian PohligDepartment for Orthopedics and Sports Orthopedics, Technical University Munich, Munich, Germany.
Jakob ThurnerDepartment for Orthopedics and Sports Orthopedics, Technical University Munich, Munich, Germany.
Rudolf BernardApotheke, Klinikum rechts der Isar, Technical University Munich, Munich, Germany.
Dirk BuschInstitute for Medical Microbiology, Immunology and Hygiene, Technical University Munich, Munich, Germany.
Rüdiger VON Eisenhart-Rothe *Department for Orthopedics and Sports Orthopedics, Technical University Munich, Munich, Germany.
Heinrich Maria Laurentius Mühlhofer *Department for Orthopedics and Sports Orthopedics, Technical University Munich, Munich, Germany.
Institute for Sports Medicine · DEInstitute of Medical Microbiology and Hygiene · DEKlinikum rechts der Isar · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimProsthetic joint infections (PJI) are difficult to diagnose and treat. For a correct diagnosis, an array of information has to be processed and weighted. Successful treatment depends on the diagnosis, timing, and surgical strategy paired with treatment of the infectious agent. The complexity and interdisciplinarity needed cause difficulties concerning decision-making, the communication between disciplines, and the execution of a treatment strategy. The aim of this study was to develop a software platform to enhance the collection of information for the diagnosis of PJI, the interdisciplinary decision-making process, the communication between team members, and continuous evaluation of treatment. PATIENTS AND

methodsIn regular planning sessions with an information technology (IT) specialist, a concept for an IT solution was chosen and the tool was designed in an interdisciplinary approach.

resultsThe tool has been used as a trial version since June 2017. It consists of 14 user interfaces with 431 items. A total of 117 patients with 118 infections have been entered and the strategy decided upon and communicated using 298 infection board documents outlining the treatment. The tool is now being used to organize the infections board agenda, schedule patient case discussions, document the relevant data and treatment plan, as well as communicate with the other teams involved in the treatment.

conclusionUsing the developed tool enables the infections team to work collaboratively and under division of labor on each case, rendering the work flow more efficient for each team member.

Indexed as

AftercareArthritis, InfectiousDatabase Management SystemsData Interpretation, StatisticalDisease ManagementHealth Information ManagementHumansMaleMedical InformaticsProsthesis-Related Infectionsantibiotic stewardshipInfection boardinterdisciplinaryPJIprosthetic joint infections

Identifiers

PMID31471415
PMCPMC6754993
OpenAlexW2971154131

What OpenQuestion holds

Textmetadata
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.