Evidence map›Paper›PMID 26306264›Full record

ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2015

Granular Quality Reporting for Cervical Cytology Testing.

Kavishwar B Wagholikar, Kathy L MacLaughlin, Christopher G Chute, Robert A Greenes, Hongfang Liu, Rajeev Chaudhry

Abstract read
In one paragraph

Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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 at 1 institution in 1 country.

Kavishwar B WagholikarBiomedical Statistics and Informatics, Arizona State University and Health Science Research, Mayo Clinic Scottsdale.
Kathy L MacLaughlinFamily Medicine, Arizona State University and Health Science Research, Mayo Clinic Scottsdale.
Christopher G ChuteBiomedical Statistics and Informatics, Arizona State University and Health Science Research, Mayo Clinic Scottsdale.
Robert A GreenesBiomedical Informatics, Arizona State University and Health Science Research, Mayo Clinic Scottsdale.
Hongfang LiuBiomedical Statistics and Informatics, Arizona State University and Health Science Research, Mayo Clinic Scottsdale.
Rajeev ChaudhryPrimary Care Internal Medicine, Mayo Clinic Rochester, Arizona State University and Health Science Research, Mayo Clinic Scottsdale.
Mayo Clinic in Arizona · US

Funding

Mayo Clinic Center for Translational Science ActivitiesUL1TR000135 · NCATS · MAYO CLINIC ROCHESTER · PI KHOSLA, SUNDEEP · 2012 to 2015
$41.2M
Natural language processing for clinical and translational researchR01GM102282 · NIGMS · MAYO CLINIC ROCHESTER · PI LIU, HONGFANG, PAKHOMOV, SERGUEI VS · 2013 to 2016
$2.5M
A Framework to Enhance Decision Support by Invoking NLP: Methods and ApplicationsK99LM011575 · NLM · MAYO CLINIC ROCHESTER · PI WAGHOLIKAR, KAVISHWAR B. · 2014 to 2015
$179k
NCATS NIH HHS UL1 TR000135NIGMS NIH HHS R01 GM102282NLM NIH HHS K99 LM011575
6 · The paper itself

Abstract

Quality reporting for cervical cancer prevention is focused on patients with normal cervical cytology, and excludes patients with cytological abnormalities that may be at higher risk. The major obstacles for granular reporting are the complexity of surveillance guidelines and free-text data. We performed automated chart review to compare the cytology testing rates for patients with 'atypical squamous cells of undetermined significance' (ASCUS) cytology, with the rates for patients with normal cytology. We modeled the surveillance guidelines, and extracted information from free-text cytology reports, to perform this study on 28101 female patients. Our results show that patients with ASCUS cytology had significantly higher adherence rates (94.9%) than those for patients with normal cytology (90.4%). Overall our study indicates that the quality of care varies significantly between the high and average risk patients. Our study demonstrates the use of health information technology for higher granularity of reporting for cervical cytology testing.

Identifiers

PMID26306264
PMCPMC4525216
OpenAlexW2464305951

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.