Evidence map›Paper›PMID 30684230›Full record

ArticleEndocrine2019

Pedro Souteiro, Patrícia Gouveia, Gonçalo Ferreira, Sandra Belo, Cláudia Costa, Davide Carvalho, Hugo Duarte, Inês Lucena Sampaio

Abstract read
PubMed Publisher
In one paragraph

Article in Endocrine, 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
2.4field-weighted citation impact, top 11% 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, 20 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
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

8 authors at 3 institutions in 1 country.

Pedro SouteiroDepartment of Endocrinology, Diabetes and Metabolism, Centro Hospitalar São João, Porto, Portugal. pedrobsouteiro@gmail.com.ORCID 0000-0002-1359-814X
Patrícia GouveiaNuclear Medicine Department, Centro Hospitalar do Porto, Porto, Portugal.
Gonçalo FerreiraNuclear Medicine Department, Instituto Português de Oncologia do Porto, Porto, Portugal.
Sandra BeloDepartment of Endocrinology, Diabetes and Metabolism, Centro Hospitalar São João, Porto, Portugal.
Cláudia CostaDepartment of Endocrinology, Instituto Português de Oncologia do Porto, Porto, Portugal.
Davide CarvalhoDepartment of Endocrinology, Diabetes and Metabolism, Centro Hospitalar São João, Porto, Portugal.
Hugo DuarteNuclear Medicine Department, Instituto Português de Oncologia do Porto, Porto, Portugal.
Inês Lucena SampaioNuclear Medicine Department, Instituto Português de Oncologia do Porto, Porto, Portugal.
IPO Porto · PTUniversidade do Porto · PTCentro Hospitalar do Porto · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveMetastatic disease is common in medullary thyroid carcinoma (MTC) and it is usually detected by raising calcitonin and carcinoembryonic antigen (CEA) levels. Nuclear medicine imaging has an important role in lesion identification/characterisation. We aim to compare

methodsThis a retrospective cross-sectional study including 13 patients with MTC and high calcitonin/CEA levels that underwent both

results

conclusionsThis is the first study to describe a positive correlation between

Indexed as

Positron Emission Tomography Computed TomographyAdultAgedBiomarkers, TumorCalcitoninCarcinoembryonic AntigenCarcinoma, MedullaryCross-Sectional StudiesFemaleFluorodeoxyglucose F18Gallium RadioisotopesHumansMaleMiddle AgedRetrospective StudiesThyroid NeoplasmsBiomarkers, TumorCalcitoninCarcinoembryonic AntigenFluorodeoxyglucose F18Gallium RadioisotopesCalcitoninCarcinoembryonic antigenPET-CT ScanThyroid cancer, medullary

Identifiers

PMID30684230
OpenAlexW2912057074

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.