Evidence map›Paper›PMID 33523414›Full record

ReviewUpdates in surgery2021

Prognosis and factors affecting colorectal cancer with ovarian metastasis.

Fangyue Zhou, Jingxin Ding

Abstract readReview
PubMed Publisher
In one paragraph

Review in Updates in surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. 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

2 authors.

Fangyue ZhouDepartment of Gynecology, The Obstetrics and Gynecology Hospital of Fudan University, 419 Fang-xie Road, Shanghai, 200011, People's Republic of China.
Jingxin DingDepartment of Gynecology, The Obstetrics and Gynecology Hospital of Fudan University, 419 Fang-xie Road, Shanghai, 200011, People's Republic of China. djxdd@sina.com.ORCID http://orcid.org/0000-0003-3079-4887

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer is one of the most common malignant tumors. Its incidence has been increasing in recent years, as has the number of cases of ovarian metastasis of colorectal cancer. The prognosis of colorectal cancer with ovarian metastasis is poor, and it is an important cause of death in female patients. A variety of clinicopathological factors were found to be related to the prognosis of patients with colorectal cancer with ovarian metastasis, such as menopausal status, metastasis limited to the pelvis, and tumor differentiation. Tumor genetic characteristics also provide a new perspective for the prognostic evaluation of colorectal cancer with ovarian metastasis. The prognosis of ovarian metastasis is also closely associated with treatment. The major treatment methods are prophylactic oophorectomy, surgical resection of the primary and metastatic lesions, cytoreductive surgery combined with hyperthermic intraperitoneal chemotherapy and systematic therapy. If feasible, complete surgical resection of the primary and ovarian metastatic macroscopic lesions combined with postoperative chemotherapy might currently be the most effective treatment for improving the prognosis of patients with colorectal cancer with ovarian metastasis. Genetic analysis also provides a theoretical basis for potential targeted therapy and immunotherapy.

Indexed as

Colorectal NeoplasmsOvarian NeoplasmsCytoreduction Surgical ProceduresFemaleHumansPrognosisTreatment OutcomeClinical pathological featuresColorectal cancerGenetic featuresOvarian metastasisPrognosisTreatments

Identifiers

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.