Evidence map›Paper›PMID 35738304›Full record

ArticleGesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany))2023

[Covid-19: Twin Method for Verifying Real-World Effectiveness Under Everyday Conditions].

Franz Porzsolt, Christel Weiß, Manfred Weiss

Abstract readEnglish Abstract
In one paragraph

Article in Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany)), 2023. 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

3 authors.

Franz PorzsoltInstitute of Clinical Economics eV, Ulm, Germany.ORCID 0000-0003-3554-2902
Christel WeißMedizinische Statistik, Biomathematik und Informationsverarbeitung, Medizinische Fakultät Mannheim der Universitätsmedizin Heidelberg, Mannheim, Germany.
Manfred WeissAnästhesiologie und Intensivmedizin, Universitätsklinikum Ulm, Ulm, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The positive side of the Covid-19 pandemic is that it has provided a stimulation for innovations. As an example, we discuss the Pragmatic Controlled Trial (PCT), a twin study that can be used to confirm the real-world effectiveness (RWE) of health services under the non-standardized conditions of everyday care. Proof of the RWE could generally be important for health services with conditional approval. The PCT uses the Bayesian principle instead of randomization. It enables care under non-standardized everyday conditions and, by describing the endpoint-specific risks of each individual patient and by classifying the interventions, creates an unbiased evaluation in a non-experimental, but risk-stratified and controlled study. Patients expect a timely solution to their health problems. Until now, science has required sufficiently well-founded results before approving an innovation. The Covid-19 pandemic has shown that the demand for immediate and best possible care can be met through the conditional approval of a new care principle. With the PCT, we describe a procedure with which, after conditional approval, the missing data can be collected in order to successfully complete the approval process.

Indexed as

COVID-19Delivery of Health CareBayes TheoremBiomedical ResearchGermanyHumansPandemicsResearch Design

Identifiers

PMID35738304
PMCPMC11248254

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.