Evidence map›Paper›PMID 24817924›Full record

ReviewInternational journal of clinical and experimental pathology2014

Screening, management and surveillance for the sessile serrated adenomas/polyps.

Xiangsheng Fu, Ye Qiu, Yali Zhang

Open access · greenAbstract readReview
In one paragraph

Review in International journal of clinical and experimental pathology, 2014. 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
1.5field-weighted citation impact, top 18% 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, 18 citations in OpenAlex.

  1. Frontiers in oncology · 2022
    Article
  2. Article
  3. Review
  4. Article
  5. 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

3 authors at 2 institutions in 1 country.

Xiangsheng FuDepartment of Gastroenterology, The Affiliated Hospital of Luzhou Medical College Sichuan, China, 646000.
Ye QiuDepartment of Gastroenterology, The Affiliated Hospital of Luzhou Medical College Sichuan, China, 646000.
Yali ZhangThe Institute for Digestive Medicine, Nanfang Hospital, Southern Medical University Guangzhou, China, 510515.
First Affiliated Hospital of Sichuan Medical University · CNNanfang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The incidence and mortality rates from right-sided colorectal cancers (CRCs) have not decreased, compared with the significant reduction of CRCs in the left colon in recent years. It is likely that a significant proportion of right-sided CRCs evolve from undetected sessile serrated adenomas/polyps (SSA/Ps) in the primary colonoscopy. Increasing evidences suggest that SSA/Ps are high-risk lesions, with 15% of the SSA/P patients developing subsequent CRCs or adenomas with high-grade dysplasia. However, there are many issues in the screening, management and surveillance of SSA/Ps. Based on new evidences, this review addresses major issues in the diagnostic criteria for the serrated polyps of the colorectum, new endoscopic techniques (high-resolution magnifying endoscopy, narrow-band imaging, autofluorescence imaging, confocal laser endoscopy, and endocytoscopy) for the realtime identification of SSA/Ps, and the management of SSA/Ps by endoscopic mucosal resection, endoscopic sub-mucosal dissection or surgical resection in practice.

Indexed as

Disease ManagementAdenomaColonColonic PolypsColorectal SurgeryEarly Detection of CancerEndoscopy, GastrointestinalEpidemiological MonitoringHumansIncidencemanagementscreeningSerrated polypsessile serrated adenomas/polypssurveillance

Identifiers

PMID24817924
PMCPMC4014208
OpenAlexW1549360244

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.