Evidence map›Paper›PMID 29869958›Full record

ArticleRadiology2018

Use of Breast Cancer Screening and Its Association with Later Use of Preventive Services among Medicare Beneficiaries.

Stella K Kang, Miao Jiang, Richard Duszak, Samantha L Heller, Danny R Hughes, Linda Moy

Abstract read
In one paragraph

Article in Radiology, 2018. 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
0.6field-weighted citation impact, top 29% 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, 11 citations in OpenAlex.

  1. Trial
  2. Article
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  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Stella K KangFrom the Department of Radiology, NYU School of Medicine, 550 First Ave, New York, NY 10016 (S.K.K., S.L.H., L.M.); Department of Population Health, NYU Langone Medical Center, New York, NY (S.K.K.); Harvey L. Neiman Health Policy Institute, Reston, Va (M.J., D.R.H.); Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Ga (R.D.); and School of Economics, Georgia Institute of Technology, Atlanda, Ga (D.R.H.).ORCID 0000-0003-2402-3787
Miao JiangFrom the Department of Radiology, NYU School of Medicine, 550 First Ave, New York, NY 10016 (S.K.K., S.L.H., L.M.); Department of Population Health, NYU Langone Medical Center, New York, NY (S.K.K.); Harvey L. Neiman Health Policy Institute, Reston, Va (M.J., D.R.H.); Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Ga (R.D.); and School of Economics, Georgia Institute of Technology, Atlanda, Ga (D.R.H.).
Richard DuszakFrom the Department of Radiology, NYU School of Medicine, 550 First Ave, New York, NY 10016 (S.K.K., S.L.H., L.M.); Department of Population Health, NYU Langone Medical Center, New York, NY (S.K.K.); Harvey L. Neiman Health Policy Institute, Reston, Va (M.J., D.R.H.); Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Ga (R.D.); and School of Economics, Georgia Institute of Technology, Atlanda, Ga (D.R.H.).
Samantha L HellerFrom the Department of Radiology, NYU School of Medicine, 550 First Ave, New York, NY 10016 (S.K.K., S.L.H., L.M.); Department of Population Health, NYU Langone Medical Center, New York, NY (S.K.K.); Harvey L. Neiman Health Policy Institute, Reston, Va (M.J., D.R.H.); Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Ga (R.D.); and School of Economics, Georgia Institute of Technology, Atlanda, Ga (D.R.H.).ORCID 0000-0002-7167-2950
Danny R HughesFrom the Department of Radiology, NYU School of Medicine, 550 First Ave, New York, NY 10016 (S.K.K., S.L.H., L.M.); Department of Population Health, NYU Langone Medical Center, New York, NY (S.K.K.); Harvey L. Neiman Health Policy Institute, Reston, Va (M.J., D.R.H.); Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Ga (R.D.); and School of Economics, Georgia Institute of Technology, Atlanda, Ga (D.R.H.).
Linda MoyFrom the Department of Radiology, NYU School of Medicine, 550 First Ave, New York, NY 10016 (S.K.K., S.L.H., L.M.); Department of Population Health, NYU Langone Medical Center, New York, NY (S.K.K.); Harvey L. Neiman Health Policy Institute, Reston, Va (M.J., D.R.H.); Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Ga (R.D.); and School of Economics, Georgia Institute of Technology, Atlanda, Ga (D.R.H.).
Harvey L. Neiman Health Policy Institute · US

Funding

Patient-Centered Decision-Making for Management of Small Renal Tumors - SupplementK07CA197134 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI KANG, STELLA · 2016 to 2021
$1.0M
NCI NIH HHS K07 CA197134
6 · The paper itself

Abstract

Purpose To retrospectively assess whether there is an association between screening mammography and the use of a variety of preventive services in women who are enrolled in Medicare. Materials and Methods U.S. Medicare claims from 2010 to 2014 Research Identifiable Files were reviewed to retrospectively identify a group of women who underwent screening mammography and a control group without screening mammography in 2012. The screened group was divided into positive versus negative results at screening, and the positive subgroup was divided into false-positive and true-positive findings. Multivariate logistic regression models and inverse probability of treatment weighting were used to examine the relationship between screening status and the probabilities of undergoing Papanicolaou test, bone mass measurement, or influenza vaccination in the following 2 years. Results The cohort consisted of 555 705 patients, of whom 185 625 (33.4%) underwent mammography. After adjusting for patient demographics, comorbidities, geographic covariates, and baseline preventive care, women who underwent index screening mammography (with either positive or negative results) were more likely than unscreened women to later undergo Papanicolaou test (odds ratio [OR], 1.49; 95% confidence interval: 1.40, 1.58), bone mass measurement (OR, 1.70; 95% confidence interval: 1.63, 1.78), and influenza vaccine (OR, 1.45; 95% confidence interval: 1.37, 1.53). In women who had not undergone these preventive measures in the 2 years before screening mammography, use of these three services after false-positive findings at screening was no different than after true-negative findings at screening. Conclusion In beneficiaries of U.S. Medicare, use of screening mammography was associated with higher likelihood of adherence to other preventive guidelines, without a negative association between false-positive results and cervical cancer screening.

Indexed as

MedicareAbsorptiometry, PhotonAgedAged, 80 and overBreast NeoplasmsEarly Detection of CancerFemaleHumansInfluenza VaccinesMammographyMass ScreeningPapanicolaou TestPrimary PreventionRetrospective StudiesUnited StatesInfluenza Vaccines

Identifiers

PMID29869958
PMCPMC6122660
OpenAlexW2806792800

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.