Evidence map›Paper›PMID 36719426›Full record

ReviewAbdominal radiology (New York)2023

Thyroid cancer in pregnancy: diagnosis, management, and treatment.

Jonathan Langdon, Akshya Gupta, Kedar Sharbidre, Ferenc Czeyda-Pommersheim, Margarita Revzin

Abstract readReview
PubMed Publisher
In one paragraph

Review in Abdominal radiology (New York), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.2field-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

6 citing papers in PubMed, 11 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

5 authors at 3 institutions in 1 country.

Jonathan LangdonDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA. jonathan.langdon@yale.edu.ORCID http://orcid.org/0000-0002-6444-7237
Akshya GuptaDepartment of Radiology and Imaging Science, University of Rochester, Rochester, NY, USA.
Kedar SharbidreDepartment of Radiology, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
Ferenc Czeyda-PommersheimDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.
Margarita RevzinDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.
Yale University · USUniversity of Alabama at Birmingham · USUniversity of Rochester · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The evaluation and management of cancer during pregnancy requires special care to assure the health and safety of both the mother and fetus. The diagnosis and treatment of thyroid cancer in the non-pregnant patient often involves radioactive iodine exposure. However, radioactive iodine is contraindicated in pregnancy and surgical interventions pose risks to both the mother and fetus. Thus, the management of thyroid cancer during pregnancy is a unique clinical challenge. In this review, we discuss the imaging of thyroid nodules during pregnancy, including the role of CT, MRI, and nuclear Imaging, as well as that of Ultrasound and FNA. The staging and prognosis are discussed along with the management, treatment, and surveillance of thyroid cancer in pregnancy. Finally, the risks to the fetus through treatment are examined. Case examples are provided with an emphasis on the appropriate direction of care from a radiologist's perspective.

Indexed as

Thyroid NeoplasmsThyroid NoduleFemaleHumansIodine RadioisotopesPregnancyPrognosisUltrasonographyIodine RadioisotopesFine Needle AspirationManagement GuidelinesPregnancyThyroid CancerUltrasound

Identifiers

PMID36719426
OpenAlexW4318672026

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.