Evidence map›Paper›PMID 34944771›Full record

ArticleCancers2021

Implementation and Effectiveness of Novel Therapeutic Substances for Advanced Malignant Melanoma in Saxony, Germany, 2010-2020-Cohort Study Based on Administrative Data.

Thomas Datzmann, Jochen Schmitt, Saskia Fuhrmann, Martin Roessler, Friedegund Meier, Olaf Schoffer

Abstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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.

Thomas DatzmannNational Center for Tumor Diseases, 01307 Dresden, Germany.
Jochen SchmittNational Center for Tumor Diseases, 01307 Dresden, Germany.ORCID 0000-0003-0264-0960
Saskia FuhrmannMedizinische Fakultät Carl Gustav Carus, Center for Evidence-Based Healthcare, TU Dresden, 01307 Dresden, Germany.
Martin RoesslerMedizinische Fakultät Carl Gustav Carus, Center for Evidence-Based Healthcare, TU Dresden, 01307 Dresden, Germany.ORCID 0000-0002-4662-4156
Friedegund MeierNational Center for Tumor Diseases, 01307 Dresden, Germany.
Olaf SchofferMedizinische Fakultät Carl Gustav Carus, Center for Evidence-Based Healthcare, TU Dresden, 01307 Dresden, Germany.ORCID 0000-0001-6922-7148

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background: Targeted (TT) and immune checkpoint inhibitor (ICI) therapies have become available in the routine care of metastatic melanoma in recent years. (2) Objective: We compared mortality in patients with metastatic melanoma and different systemic therapies. (3) Methods: A retrospective cohort study, based on pseudonymized health insurance data of about two million individuals from Saxony, Germany, was conducted for the years 2010 to 2020. Only patients with an advanced stage, i.e., distant metastases were considered for the main analysis. Relative survival since metastasis and predicted survivor curves derived from a Cox model were used to assess potential differences in mortality. (4) Results: Relative survival was highest in the subgroup with sequential use of ICI and TT. All treatments except interferon had significant hazard ratios (HR) in the Cox model with time-dependent effects indicating a protective effect after treatment initiation (HR 0.01-0.146) but decreasing over time (HR 1.351-2.310). The predicted survivor curves revealed best survival under ICI-TT treatment and worst survival under TT treatment alone. (5) Conclusions: We found real-world evidence for survival benefits of patients with metastatic melanoma who received sequential ICI and TT treatment. It is conceivable that the observed high survival differences were overestimated due to bias, such as confounding by indication.

Indexed as

immune checkpoint inhibitor therapymetastatic melanomastatutory health insurance datasurvivaltargeted therapy

Identifiers

PMID34944771
PMCPMC8699477

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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.