Evidence map›Paper›PMID 36705722›Full record

ReviewAbdominal radiology (New York)2023

The radiologist's role in a multidisciplinary approach to cancer in pregnancy.

Joelle Harwin, Priyanka Jha, Annalisa Post, Jordyn Silverstein, Katherine Van Loon, Liina Poder

Abstract readReview
PubMed Full text at PMC 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
  2. 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

6 authors.

Joelle HarwinDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA. Joelle.harwin@ucsf.edu.ORCID http://orcid.org/0000-0002-4830-2425
Priyanka JhaDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA.
Annalisa PostDepartment of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, CA, USA.
Jordyn SilversteinDepartment of Medicine, University of California, San Francisco, CA, USA.
Katherine Van LoonDepartment of Hematology/Oncology, Department of Medicine, University of California, San Francisco, CA, USA.
Liina PoderDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pregnancy-associated cancer (PAC) occurs in approximately 1 in 1000 pregnancies, and the incidence is expected to rise due to delayed childbearing (Silverstein et al. in JCO Oncol Pract 16:545-557, 2020; Woitek et al. in ESMO Open 1:e000017, 2016). Diagnosis and management of PACs are challenging and diagnosis is often delayed as symptoms may overlap with physiologic changes of pregnancy (Jha et al. in RadioGraphics 42:220005, 2022). These patients are best cared for by a multidisciplinary healthcare team composed of experts (Silverstein et al. in JCO Oncol Pract 16:545-557, 2020). Management of these patients must balance optimal maternal care with potentially harmful fetal effects. This involves honest, forthright, and sometimes difficult discussions between the care team and the patient throughout the entirety of care. Radiologists play a significant role in timely cancer diagnosis, staging and follow-up during and after pregnancy, accurate determination of gestational age, and in assessing fetal growth and well-being throughout pregnancy.

Indexed as

NeoplasmsFemaleHumansPregnancyRadiologistsMalignancy in pregnancyMultidisciplinary carePregnancy-associated cancerRadiology

Identifiers

PMID36705722
PMCPMC10149443

What OpenQuestion holds

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LicenceCC BY
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.