Evidence map›Paper›PMID 27372833›Full record

ArticleJournal of community genetics2016

Successful implementation of Lynch syndrome screening in a safety net institution.

Trilokesh D Kidambi, Robin Lee, Jonathan P Terdiman, Lukejohn Day

Open access · bronzeAbstract read
In one paragraph

Article in Journal of community genetics, 2016. 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
0.5field-weighted citation impact, top 32% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  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

4 authors at 2 institutions in 1 country.

Trilokesh D KidambiDivision of Gastroenterology, University of California, San Francisco, San Francisco, CA, USA.
Robin LeeSan Francisco and San Francisco General Hospital Cancer Genetics and Prevention Program, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA.
Jonathan P TerdimanDivision of Gastroenterology, University of California, San Francisco, San Francisco, CA, USA.
Lukejohn DayDivision of Gastroenterology, University of California, San Francisco, San Francisco, CA, USA. Lukejohn.Day@ucsf.edu.
San Francisco General Hospital · USUniversity of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lynch syndrome (LS) is the most common cause of hereditary colorectal cancer (CRC), and national guidelines recommend screening patients with CRC for LS. However, there is a paucity of data related to Lynch syndrome in the underserved population, in which unique issues of access, cultural beliefs regarding cancer, language barriers, immigration status, and financial restraints exist. We performed a descriptive, retrospective review of a selective LS screening protocol at an urban safety net hospital between 2009 and 2014 with the aim of describing the detected prevalence of LS as well as reporting the high quality and suboptimal screening rates. A total of 154 cases of CRC were identified over the 5-year period, of which 57 met selective LS screening criteria. Eleven patients had a positive screen, and three patients were diagnosed with LS, leading to an overall detected LS prevalence of 1.9 %. The rate of high quality screen was greater than 90 %, consistent with prior studies. Thus, we show that screening for LS in a safety net hospital can be successful in achieving high quality screening and provide an example for other public hospitals considering implementation of hereditary cancer screening.

Indexed as

Hereditary colon cancerImmunohistochemistryLynch syndromeUnderserved screening

Identifiers

PMID27372833
PMCPMC4960029
OpenAlexW2460650585

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.