Evidence map›Paper›PMID 39836206›Full record

ReviewOrthopadie (Heidelberg, Germany)2025

[Diabetes mellitus and obesity: risk optimization before surgical interventions].

Stephan Martin

Abstract readEnglish AbstractReview
PubMed Publisher
In one paragraph

Review in Orthopadie (Heidelberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Stephan MartinWestdeutsches Diabetes- und Gesundheitszentrum, Verbund Katholischer Kliniken Düsseldorf, Hohensandweg 37, 40591, Düsseldorf, Deutschland. Stephan.Martin@vkkd-kliniken.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prevalence of obesity has increased significantly in recent years and is a causal risk factor for the development of type 2 diabetes. Moreover, chronic degenerative joint diseases are also triggered by obesity. WEIGHT LOSS: Both obesity-related secondary diseases-type 2 diabetes and chronic degenerative joint disease-can be prevented or at least delayed by lifestyle intervention aimed at weight reduction. The progression of these diseases can also be favourably influenced by radical weight loss. Diets with a reduction in carbohydrates-a so-called "low-carb" or ketogenic diet-appear to be superior to a low-fat diet. SURGICAL TREATMENT: If joint replacement surgery is necessary, preoperative and perioperative interdisciplinary care by a team of experienced therapists from the fields of orthopaedics and obesity/type 2 diabetes is required. The Düsseldorf TeDia model in the network of Catholic hospitals in Düsseldorf takes these requirements into account by providing interdisciplinary care for such patients at the orthopaedic centre at St. Vinzenz Hospital Düsseldorf and the West German Diabetes and Health Centre (WDGZ). Patients with pronounced obesity or diabetes mellitus are presented preoperatively at the WDGZ on an outpatient basis, and weight reduction therapy or optimization of the diabetic metabolic situation is initiated. If joint problems persist despite weight reduction or pronounced degenerative changes that require surgery, the WDGZ provides inpatient diabetology care in the orthopaedic clinic with the option of further outpatient follow-up care.

Indexed as

Diabetes Mellitus, Type 2ObesityPreoperative CareHumansPatient Care TeamRisk FactorsWeight LossCarbohydratesJoint diseasesKetogenic dietWeight lossWeight reduction diet

Identifiers

PMID39836206

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.