Evidence map›Paper›PMID 31937176›Full record

ArticleThe Journal of international medical research2020

HER-2 overexpression is a negative predictive factor for recurrence in patients with non-muscle-invasive bladder cancer on intravesical therapy.

Georgios Moustakas, Spyridon Kampantais, Anastasia Nikolaidou, Ioannis Vakalopoulos, Valentini Tzioufa, Georgios Dimitriadis

Open access · goldAbstract read
In one paragraph

Article in The Journal of international medical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. [Advances in intravesical therapy for nonZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2026
    Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Classification of bladder cancer cell lines according to regulon activity.Turkish journal of biology = Turk biyoloji dergisi · 2021
    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 at 3 institutions in 1 country.

Georgios MoustakasDepartment of Urology, Theagenio Cancer Hospital, Thessaloniki, Greece.
Spyridon KampantaisDepartment of Urology, Saint Luke's Private Hospital of Thessaloniki, Thessaloniki, Greece.ORCID https://orcid.org/0000-0001-5743-0333
Anastasia NikolaidouDepartment of Pathology, Theagenio Cancer Hospital, Thessaloniki, Greece.
Ioannis Vakalopoulos1st Department of Urology, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Valentini TzioufaDepartment of Pathology, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Georgios Dimitriadis1st Department of Urology, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Aristotle University of Thessaloniki · GRTheageneio General Hospital · GRSt. Luke's Hospital · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Neoplasm Recurrence, LocalAdministration, IntravesicalAdultAged, 80 and overBiomarkers, TumorCarcinoma, Transitional CellErb-b2 Receptor Tyrosine KinasesFemaleHumansMaleMiddle AgedNeoplasm InvasivenessRetrospective StudiesUrinary Bladder NeoplasmsBiomarkers, TumorERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesBladder cancererbB2HER-2human epidermal growth factor receptorimmunohistochemistrynon-muscle-invasive bladder cancer

Identifiers

PMID31937176
PMCPMC7112244
OpenAlexW2999581272

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.