Evidence map›Paper›PMID 31396474›Full record

ArticleWorld journal of clinical oncology2019

Pseudo- or real progression? An ovarian cancer patient under nivolumab: A case report.

Mona Passler, Eliane T Taube, Jalid Sehouli, Klaus Pietzner

Open access · diamondAbstract readCase Reports
In one paragraph

Article in World journal of clinical oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Trial
  2. Review
  3. Review
  4. Article
  5. 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

4 authors at 1 institution in 1 country.

Mona PasslerDepartment of Gynecology, Competence Center for Ovarian Cancer (EKZE), Charité - University Medicine, Berlin 13353, Germany. mona.passler@charite.de.
Eliane T TaubeInstitute of Pathology, Charité University Hospital, Berlin 10117, Germany.
Jalid SehouliDepartment of Gynecology, Competence Center for Ovarian Cancer (EKZE), Charité - University Medicine, Berlin 13353, Germany.
Klaus PietznerDepartment of Gynecology, Competence Center for Ovarian Cancer (EKZE), Charité - University Medicine, Berlin 13353, Germany.
Charité - Universitätsmedizin Berlin · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCheckpoint-Inhibition has revolutionized the treatment for several entities such as melanoma and renal cell carcinoma. The first encouraging experience in ovarian cancer was reported for nivolumab, a fully humanized anti-programmed death-1 antibody. Pseudoprogression is a new phenomenon associated with these novel immuno-oncologic agents. It can be explained by infiltrating leucocytes and edema that result in a temporary increase in tumor size and delayed subsequent shrinkage due to tumor cell destruction. CASE SUMMARY: We report on a 47-year old patient with platinum-resistant ovarian cancer that was treated off-label with nivolumab 3mg/kg iv d1q14d. She first experienced classic pseudoprogression with inguinal lymph node swelling after cycle two and subsequent shrinkage. After 6 cycles she presented with rectal bleeding and progressive disease was diagnosed due to new tumor infiltration into the rectum.

conclusionClinicians should be aware of pseudoprogression, its underlying mechanisms and strategies to discriminate pseudo- from real progression in ovarian cancer.

Indexed as

Case reportCheckpoint inhibitionClinical oncologyGynecologic oncologyImmunooncologyNivolumabPseudoprogression

Identifiers

PMID31396474
PMCPMC6682498
OpenAlexW2963167776

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.