Evidence map›Paper›PMID 28913596›Full record

ReviewZeitschrift fur Rheumatologie2017

[Perioperative management of immunosuppressive treatment in patients undergoing joint surgery].

K Krüger

Abstract readReview
PubMed Publisher
In one paragraph

Review in Zeitschrift fur Rheumatologie, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 19 citations in OpenAlex.

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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

1 author at 1 institution in 1 country.

K KrügerRheumatologisches Praxiszentrum, St. Bonifatius Str. 5, 81541, München, Deutschland. klaus.krueger@med.uni-muenchen.de.
Orthopädische Praxis · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The perioperative management of patients on immunosuppressive drugs is uncertain due to a lack of controlled studies. Continuation of medication without a pause may increase the risk of postoperative infections and wound healing disorders and when the pause is too long this can induce a flare of the underlying rheumatic disease. Additional factors, such as rheumatic disease activity, comorbidities, previous infections and the type of surgical procedure also modulate the risk. The highest risk of infection is associated with corticosteroids depending on the dose, so that a dosage as low as possible but stable in the perioperative period is recommended. Among the conventional disease-modifying antirheumatic drugs (DMARDs) only methotrexate has been sufficiently investigated and in this case a pause in treatment induces higher risks than continuation. Antimalarial agents and sulphasalazine should be continued due to the low risks, whereas leflunomide should be washed out before major surgical interventions. The perioperative risk of treatment with biologics is still far from clear; therefore, as a rule of thumb, withholding treatment for two serum half-lives before an intervention and restarting after completed wound healing are recommended.

Indexed as

Arthroplasty, ReplacementPerioperative CareAdrenal Cortex HormonesAntimalarialsAntirheumatic AgentsArthritis, RheumatoidBiological ProductsHumansImmunosuppressive AgentsIsoxazolesLeflunomideMethotrexateRisk FactorsSulfasalazineSurgical Wound InfectionWound HealingAdrenal Cortex HormonesAntimalarialsAntirheumatic AgentsBiological ProductsImmunosuppressive AgentsIsoxazolesLeflunomideMethotrexateSulfasalazineBiologicsDisease-modifying antirheumatic drugsGlucocorticoidsInfectionsWound healing

Identifiers

PMID28913596
OpenAlexW2756054204

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.