ArticleThe Journal of surgical research2023
Insurance-Based Disparities in Guideline-Concordant Thyroid Cancer Care in the Era of De-escalation.
Article in The Journal of surgical research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed, 10 citations in OpenAlex.
- The role of insurance status in molecular testing for thyroid nodules with indeterminate cytology.Journal of the Endocrine Society · 2026Article
- Article
- Loss of Follow-up for Thyroid Nodules in Patients Living in Poverty.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists · 2025Article
- Social Determinants of Health and Disparities in Thyroid Care.The Journal of clinical endocrinology and metabolism · 2024Article
- American Cancer Society's Report on the Status of Cancer Disparities in the United States, 2025.CA: a cancer journal for cliniciansArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
introductionPrior studies have demonstrated insurance-based disparities in the treatment of well-differentiated thyroid cancer. However, it remains unclear whether these disparities have persisted in the era of the 2015 American Thyroid Association (ATA) management guidelines. The goal of this study was to assess whether insurance type is associated with the receipt of guideline-concordant and timely thyroid cancer treatment in a modern cohort.
methodsPatients diagnosed with well-differentiated thyroid cancer between 2016 and 2019 were identified from the National Cancer Database. Appropriateness of surgical and radioactive iodine treatment (RAI) was determined based on the 2015 ATA guidelines. Multivariable logistic regression and Cox proportional hazard regression analyses, stratified at age 65, were used to evaluate the associations between insurance type and appropriateness and timeliness of the treatment.
results125,827 patients were included (private = 71%, Medicare = 19%, Medicaid = 10%). Compared to privately insured patients, patients with Medicaid more frequently presented with tumors >4 cm in size (11% versus 8%, P < 0.001) and regional metastases (29% versus 27%, P < 0.001). However, patients with Medicaid were also less likely to undergo appropriate surgical treatment (odds ratio 0.69, P < 0.001), less likely to undergo surgery within 90 d of diagnosis (hazard ratio 0.80, P < 0.001), and more likely to be undertreated with RAI (odds ratio 1.29, P < 0.001). There were no differences in the likelihood of guideline-concordant surgical or medical treatment by insurance type in patients ≥65 y old.
conclusionsIn the era of the 2015 ATA guidelines, patients with Medicaid remain less likely to receive guideline-concordant, timely surgery and more likely to be undertreated with RAI compared to privately insured patients.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.