Evidence map›Paper›PMID 32700066›Full record

ArticleOncology and therapy2020

Siroos Mirzaei, Mona-Eilsabeth Revheim, William Raynor, Walter Zehetner, Peter Knoll, Shahin Zandieh, Abass Alavi

Open access · goldAbstract read
In one paragraph

Article in Oncology and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

9 citing papers in PubMed, 21 citations in OpenAlex.

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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

7 authors at 4 institutions in 3 countries.

Siroos MirzaeiDepartment of Nuclear Medicine with PET-Center, Wilhelminenspital, Vienna, Austria. siroos.mirzaei@wienkav.at.
Mona-Eilsabeth RevheimDivision of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway.
William RaynorDepartment of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA.
Walter ZehetnerDepartment of Nuclear Medicine with PET-Center, Wilhelminenspital, Vienna, Austria.
Peter KnollDepartment of Nuclear Medicine with PET-Center, Wilhelminenspital, Vienna, Austria.
Shahin ZandiehDepartment of Radiology and Nuclear Medicine, Hanusch Hospital, Vienna, Austria.
Abass AlaviDepartment of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA.
Wilhelminen Hospital · ATHospital of the University of Pennsylvania · USParacelsus Medical University · ATUniversity of Oslo · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSeveral radiolabeled somatostatin analogues have been developed for molecular imaging of neuroendocrine tumors (NETs) with single-photon emission computed tomography (SPECT) and positron-emission tomography (PET). The aim of the present study was to report our first results using

methodsThirty-three patients with NETs (15 female, 18 male; mean age 64 ± 13 years) were included in this retrospective study.

resultsFive out of 33 patients with a history of NET after surgical removal of the primary lesion showed no pathological lesions on PET-CT imaging and 8/33 patients had enhanced uptake in the area of recurrent meningioma at the skull base. The remaining 20/33 patients had a history of neuroendocrine tumor in the gastrointestinal tract (GEP-NET) and were presented with at least one pathological lesion.

conclusionThe high detection rate of suspected lesions in patients with NETs and the high target-to-background contrast found in this study hold promise for the safe application of

Indexed as

64Cu-DOTATOCNENNETPET–CTPRRT

Identifiers

PMID32700066
PMCPMC7360020
OpenAlexW2990679046

What OpenQuestion holds

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LicenceCC BY-NC
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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.