Evidence map›Paper›PMID 29390520›Full record

ReviewMedicine2017

Advanced gastrointestinal carcinoma with massive ascites and hydrothorax during pregnancy: A case report and review of the literature.

Wenfeng Ye, Yanhong Tang, Changfang Yao, Junyu Shi, Yongjuan Xu, Jingting Jiang

Abstract readCase ReportsReview
In one paragraph

Review in Medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. 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

6 authors.

Wenfeng YeDepartment of Tumor Biological Treatment Department of Obstetrics and Gynecology, The Third Affiliated Hospital, Soochow University Jiangsu Engineering Research Center for Tumor Immunotherapy Department of Obstetrics and Gynecology, Changzhou Maternal and Child Health Care Hospital, Changzhou, Jiangsu, China.
Yanhong Tang
Changfang Yao
Junyu Shi
Yongjuan Xu
Jingting Jiang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

rationaleGastrointestinal carcinoma is rare during pregnancy. It is usually diagnosed at an advanced stage because special gastrointestinal symptoms are generally overlooked during pregnancy, and there are many limitations and contraindications for using diagnostic tools during pregnancy. PATIENT CONCERNS: We present a case of a 29-year-old patient with 27 weeks and 5 days of gestation due to massive ascites and hydrothorax. DIAGNOSES: The patient was diagnosed with an advanced gastrointestinal cancer. Pathological report showed poorly differentiated tumor with the signet ring cell component.

interventionsCaesarean section was performed. At the same time, an abdominal exploration showed that the omentum was like biscuits . There were extensive and firm intestinal adhesions, and many tumor lesions were found on the surface of greater curvature of stomach, spleen, intestine, peritoneum, ascending colon and descending colon. OUTCOMES: Gastrointestinal surgeon was invited during operation, and palliative gastrectomy was not performed because of extensive metastases. The patient died 30 days after caesarean section. LESSONS: This study present a case with advanced gastrointestinal cancer during pregnancy. We suggest that endoscopic exam is recommended if the patient is highly suspicious.

Indexed as

AdultAscitesCarcinoma, Signet Ring CellDisease ProgressionFatal OutcomeFemaleGastrectomyGastrointestinal NeoplasmsHumansHydrothoraxNeoplasm InvasivenessNeoplasm StagingPregnancyPregnancy Complications, NeoplasticPregnancy Trimester, SecondRisk Assessment

Identifiers

PMID29390520
PMCPMC5758222

What OpenQuestion holds

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Registered trials

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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.