Evidence map›Paper›PMID 25395871›Full record

ReviewInternational journal of women's health2014

Pregnancy-associated breast cancer: optimal treatment options.

Elyce Cardonick

Registry-linked trialAbstract readReview
In one paragraph

Review in International journal of women's health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02749474 (Maternal Cancer Diagnosis and Treatment During Pregnancy), which is not on this map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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.

NCT02749474 unknown statusnot on this map

Maternal Cancer Diagnosis and Treatment During Pregnancy:a Registry for Maternal, Fetal, and Neonatal Outcomes With Longitudinal Follow up of Child Development and Maternal Psychological Well Being

Typeobservational_patient_registrySponsorThe Cooper Health SystemRan2003 to 2025Enrolled400ConditionsPregnancy, Cancer, Cancer in Pregnancy, Gestational Breast Cancer, Pregnancy Related
3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Review
  9. Review
  10. Review
  11. Article
  12. Pregnancy-Associated Breast Cancer: A Realistic Approach.Journal of obstetrics and gynaecology of India · 2019
    Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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

1 author.

Elyce CardonickDivision of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Cooper University Hospital, Camden, NJ, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer is diagnosed approximately once per 1,000 pregnancies; most commonly due to the reproductive age of the women, these include breast, cervical, melanoma, thyroid, and Hodgkin's lymphoma diagnoses. As a single diagnosis, breast cancer is the most common cancer diagnosed during pregnancy. Cancer is expected to complicate pregnancy more often due to the trend for women to delay child bearing to later maternal ages. Delayed first birth is itself a risk factor for breast cancer. Termination of pregnancy has not been shown to afford a survival benefit. While protecting the interests of mother and unborn fetus, breast cancer can be safely diagnosed, staged, and treated during pregnancy with good outcomes for both. Some modification of the protocols used for nonpregnant women with suspicious palpable breast masses is required. This article reviews the challenges for physicians in making the diagnosis of breast cancer during pregnancy and upon diagnosis, counseling patients about treatment options. The consequences of diagnostic investigations and cancer treatment for the exposed fetus are also addressed.

Indexed as

chemotherapygestationalin utero exposure

Identifiers

PMID25395871
PMCPMC4226455

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.