Evidence map›Paper›PMID 33319153›Full record

ReviewAnnals of gastroenterological surgery2020

Precision medicine for adjuvant chemotherapy of resected colorectal cancer.

Yuji Miyamoto, Yukiharu Hiyoshi, Hiroshi Sawayama, Ryuma Tokunaga, Hideo Baba

Open access · goldAbstract readReview
In one paragraph

Review in Annals of gastroenterological surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 14 citations in OpenAlex.

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

5 authors at 1 institution in 1 country.

Yuji MiyamotoDepartment of Gastroenterological Surgery Graduate School of Medical Sciences Kumamoto University Kumamoto Japan.ORCID https://orcid.org/0000-0003-3948-5044
Yukiharu HiyoshiDepartment of Gastroenterological Surgery Graduate School of Medical Sciences Kumamoto University Kumamoto Japan.ORCID https://orcid.org/0000-0002-9209-554X
Hiroshi SawayamaDepartment of Gastroenterological Surgery Graduate School of Medical Sciences Kumamoto University Kumamoto Japan.ORCID https://orcid.org/0000-0002-0082-7601
Ryuma TokunagaDepartment of Gastroenterological Surgery Graduate School of Medical Sciences Kumamoto University Kumamoto Japan.
Hideo BabaDepartment of Gastroenterological Surgery Graduate School of Medical Sciences Kumamoto University Kumamoto Japan.ORCID https://orcid.org/0000-0002-3474-2550
Kumamoto University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer (CRC) is the most common cancer and the second leading cause of cancer death in Japan. Surgical resection is the only curative option for localized disease. However, undetectable micrometastases remaining after curative surgery may cause disease recurrence. Adjuvant chemotherapy aims to eradicate these micrometastases to improve the cure rate. Unfortunately, few reliable prognostic and predictive markers are available that identify patients at high risk for CRC during early-stage disease. However, promising biomarkers may become available in the near future. Such biomarkers provide information for stratifying a patient's risk and for selecting the optimal treatment. Here, we provide an overview of current relevant prognostic and predictive biomarkers applicable to adjuvant treatment of early-stage CRC and focus on the future of this field.

Indexed as

adjuvant chemotherapycolorectal cancerprecision medicinepredictive markerprognostic marker

Identifiers

PMID33319153
PMCPMC7726679
OpenAlexW3111429885

What OpenQuestion holds

Textmetadata
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.