Evidence map›Paper›PMID 27730287›Full record

ReviewSeminars in immunopathology2017

Cancer immunotherapy in patients with preexisting autoimmune disorders.

Marco Donia, Magnus Pedersen, Inge Marie Svane

Abstract readReview
PubMed Publisher
In one paragraph

Review in Seminars in immunopathology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Progress in three-dimensional printing with growth factors.Journal of controlled release : official journal of the Controlled Release Society · 2019
    Review
  11. Review
  12. [Autoimmune reactions to immune checkpoint inhibitors].Zeitschrift fur Rheumatologie · 2017
    Review
  13. Cancer and autoimmunity.Seminars in immunopathology · 2017
    Review
  14. 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

3 authors.

Marco DoniaCenter for Cancer Immune Therapy, Department of Hematology, Herlev Hospital, University of Copenhagen, Copenhagen, Denmark. Marco.Donia@regionh.dk.
Magnus PedersenCenter for Cancer Immune Therapy, Department of Hematology, Herlev Hospital, University of Copenhagen, Copenhagen, Denmark.
Inge Marie SvaneCenter for Cancer Immune Therapy, Department of Hematology, Herlev Hospital, University of Copenhagen, Copenhagen, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with preexisting active autoimmune disorders were excluded from clinical trials of immune checkpoint inhibitors. However, patients with autoimmune disorders are diagnosed with cancer at least as frequently as the global population, and clinicians treating patients outside clinical trials have generally been reluctant to offer cancer immunotherapy to this patient group. In this brief article, we review the most recent literature on the efficacy and safety of CTLA-4- and PD-1-blocking antibodies in patients with preexisting autoimmune disorders.

Indexed as

ImmunotherapyAntibodies, MonoclonalAntineoplastic AgentsAutoimmune DiseasesB7-H1 AntigenCTLA-4 AntigenHumansImmune ToleranceImmunosuppression TherapyMolecular Targeted TherapyNeoplasmsNeoplasms, Second PrimaryProgrammed Cell Death 1 ReceptorRiskTreatment OutcomeAntibodies, MonoclonalAntineoplastic AgentsB7-H1 AntigenCTLA-4 AntigenProgrammed Cell Death 1 ReceptorAutoimmune diseasesAutoimmune disordersCancer immunotherapyCheckpoint inhibitorsCTLA-4ImmunotherapyIpilimumabMelanomaNivolumabPD-1Pembrolizumab

Identifiers

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.