Evidence map›Paper›PMID 32616532›Full record

ArticleBMJ case reports2020

Atezolizumab-induced type 1 diabetes mellitus in a patient with metastatic renal cell carcinoma.

Wedad Rahman, Anna Conley, Kristi D Silver

Open access · bronzeAbstract readCase Reports
In one paragraph

Article in BMJ case reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Update on Measuring Ketones.Journal of diabetes science and technology · 2024
    Review
  4. Article
  5. Review
  6. Article
  7. 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 at 1 institution in 1 country.

Wedad RahmanDepartment of Medicine, University of Maryland Baltimore, Baltimore, Maryland, USA.
Anna ConleyDepartment of Medicine, University of Maryland Baltimore, Baltimore, Maryland, USA.
Kristi D SilverDepartment of Medicine, University of Maryland Baltimore, Baltimore, Maryland, USA ksilver@som.umaryland.edu.
University of Maryland, Baltimore · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Checkpoint inhibitor immunotherapy has revolutionised cancer treatment since its inception. During an inflammatory response, activated cytotoxic T cells expressing programmed cell death protein 1 (PD-1) interact with programmed cell death-ligand 1 (PD-L1) on peripheral tissues to thwart an autoimmune reaction. Cancer cells upregulate PD-L1 expression to evade the immune system and are vulnerable to attack in the presence of PD-1 or PD-L1 checkpoint inhibitors. However, blockade of this pathway also contributes to the unintended side effect of autoimmune endocrinopathies. Atezolizumab, a checkpoint inhibitor against PD-L1, is associated with the rare complication of type 1 diabetes. We present a case of glutamic acid decarboxylase antibody-positive type 1 diabetes developing in a patient with a long-standing history of well-controlled type 2 diabetes following treatment with atezolizumab for metastatic renal cell carcinoma.

Indexed as

Antibodies, Monoclonal, HumanizedAntineoplastic AgentsB7-H1 AntigenCarcinoma, Renal CellDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2Glutamate DecarboxylaseHumansImmune Checkpoint InhibitorsImmunotherapyKidney NeoplasmsLiver NeoplasmsMaleMiddle AgedProgrammed Cell Death 1 ReceptorTreatment OutcomeAntibodies, Monoclonal, HumanizedAntineoplastic AgentsatezolizumabB7-H1 AntigenGlutamate DecarboxylaseImmune Checkpoint InhibitorsProgrammed Cell Death 1 Receptorchemotherapydiabetes

Identifiers

PMID32616532
PMCPMC7333809
OpenAlexW3038227347

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.