Header Logo
Keywords
Last Name
Institution
Announcement

You can now add alternative names! Click here to add other names that you've published under.
 Back to Details

Connection

Co-Authors

This is a "connection" page, showing publications co-authored by Teresa Hudson and Bradley Martin.

 
Connection Strength
  
 
 
2.807
  
  1. Martin BC, Hayes C, Austen M, Hudson T. Author response to "Impact of survival bias on opioid-related outcomes when using death as an exclusion criterion". Pharmacoepidemiol Drug Saf. 2016 Apr; 25(4):477-8.
    View in: PubMed
    Score: 0.552
  2. Hayes CJ, Krebs EE, Brown J, Li C, Hudson T, Martin BC. Impact of transitioning from long-term to intermittent opioid therapy on the development of opioid-related adverse outcomes: A retrospective cohort study. Drug Alcohol Depend. 2022 02 01; 231:109236.
    View in: PubMed
    Score: 0.205
  3. Hayes CJ, Krebs EE, Li C, Brown J, Hudson T, Martin BC. Association between discontinuing chronic opioid therapy and newly diagnosed substance use disorders, accidents, self-inflicted injuries and drug overdoses within the prescribers' health care system: a retrospective cohort study. Addiction. 2022 04; 117(4):946-968.
    View in: PubMed
    Score: 0.203
  4. Hayes CJ, Krebs EE, Brown J, Li C, Hudson T, Martin BC. Association Between Pain Intensity and Discontinuing Opioid Therapy or Transitioning to Intermittent Opioid Therapy After Initial Long-Term Opioid Therapy: A Retrospective Cohort Study. J Pain. 2021 12; 22(12):1709-1721.
    View in: PubMed
    Score: 0.198
  5. Hayes CJ, Krebs EE, Hudson T, Brown J, Li C, Martin BC. Impact of opioid dose escalation on pain intensity: a retrospective cohort study. Pain. 2020 05; 161(5):979-988.
    View in: PubMed
    Score: 0.183
  6. Hayes CJ, Krebs EE, Hudson T, Brown J, Li C, Martin BC. Impact of opioid dose escalation on the development of substance use disorders, accidents, self-inflicted injuries, opioid overdoses and alcohol and non-opioid drug-related overdoses: a retrospective cohort study. Addiction. 2020 06; 115(6):1098-1112.
    View in: PubMed
    Score: 0.179
  7. Hudson TJ, Painter JT, Gressler LE, Lu L, Williams JS, Booth BM, Martin BC, Sullivan MD, Edlund MJ. Factors Associated with Opioid Initiation in OEF/OIF/OND Veterans with Traumatic Brain Injury. Pain Med. 2018 04 01; 19(4):774-787.
    View in: PubMed
    Score: 0.158
  8. Hudson TJ, Painter JT, Martin BC, Austen MA, Williams JS, Fortney JC, Sullivan MD, Edlund MJ. Pharmacoepidemiologic analyses of opioid use among OEF/OIF/OND veterans. Pain. 2017 06; 158(6):1039-1045.
    View in: PubMed
    Score: 0.150
  9. Hayes CJ, Hudson TJ, Phillips MM, Bursac Z, Williams JS, Austin MA, Edlund MJ, Martin BC. The influence of propoxyphene withdrawal on opioid use in veterans. Pharmacoepidemiol Drug Saf. 2015 Nov; 24(11):1180-8.
    View in: PubMed
    Score: 0.132
  10. Vanderlip ER, Sullivan MD, Edlund MJ, Martin BC, Fortney J, Austen M, Williams JS, Hudson T. National study of discontinuation of long-term opioid therapy among veterans. Pain. 2014 Dec; 155(12):2673-2679.
    View in: PubMed
    Score: 0.124
  11. Edlund MJ, Austen MA, Sullivan MD, Martin BC, Williams JS, Fortney JC, Hudson TJ. Patterns of opioid use for chronic noncancer pain in the Veterans Health Administration from 2009 to 2011. Pain. 2014 Nov; 155(11):2337-43.
    View in: PubMed
    Score: 0.124
  12. Karve S, Cleves MA, Helm M, Hudson TJ, West DS, Martin BC. Good and poor adherence: optimal cut-point for adherence measures using administrative claims data. Curr Med Res Opin. 2009 Sep; 25(9):2303-10.
    View in: PubMed
    Score: 0.087
  13. Karve S, Cleves MA, Helm M, Hudson TJ, West DS, Martin BC. Prospective validation of eight different adherence measures for use with administrative claims data among patients with schizophrenia. Value Health. 2009 Sep; 12(6):989-95.
    View in: PubMed
    Score: 0.085
  14. Karve S, Cleves MA, Helm M, Hudson TJ, West DS, Martin BC. An empirical basis for standardizing adherence measures derived from administrative claims data among diabetic patients. Med Care. 2008 Nov; 46(11):1125-33.
    View in: PubMed
    Score: 0.083
  15. Hayes CJ, Martin BC, Hoggatt KJ, Cucciare MA, Hudson TJ, Gordon AJ. Average Daily Dose Trajectories for Episodes of Buprenorphine Treatment for Opioid Use Disorder. Subst Use Addctn J. 2024 Jul 28; 29767342241263161.
    View in: PubMed
    Score: 0.061
  16. Hayes CJ, Raciborski RA, Martin BC, Gordon AJ, Hudson TJ, Brown CC, Pro G, Cucciare MA. Are gaps in rates of retention on buprenorphine for treatment of opioid use disorder closing among veterans across different races and ethnicities? A retrospective cohort study. J Subst Use Addict Treat. 2024 Nov; 166:209461.
    View in: PubMed
    Score: 0.061
  17. Hayes CJ, Bin Noor N, Raciborski RA, Martin BC, Gordon AJ, Hoggatt KJ, Hudson T, Cucciare MA. Development and validation of machine-learning algorithms predicting retention, overdoses, and all-cause mortality among US military veterans treated with buprenorphine for opioid use disorder. J Addict Dis. 2024 06 30; 1-18.
    View in: PubMed
    Score: 0.061
  18. Hayes CJ, Cucciare MA, Martin BC, Hudson TJ, Bush K, Lo-Ciganic W, Yu H, Charron E, Gordon AJ. Using data science to improve outcomes for persons with opioid use disorder. Subst Abus. 2022; 43(1):956-963.
    View in: PubMed
    Score: 0.051
  19. Gressler LE, Martin BC, Hudson TJ, Painter JT. Relationship between concomitant benzodiazepine-opioid use and adverse outcomes among US veterans. Pain. 2018 03; 159(3):451-459.
    View in: PubMed
    Score: 0.039
  20. Singh M, Raghavan D, Williams JS, Martin BC, Hudson TJ, Owen RR, Jain N. Prevalence of Chronic Kidney Disease, Thrombotic Cardiovascular Events, and Use of Oral P2Y12 Inhibitors among Veterans. Am J Nephrol. 2018; 47(2):67-71.
    View in: PubMed
    Score: 0.039
  21. Dhamane AD, Martin BC, Brixner DI, Hudson TJ, Said Q. Metabolic monitoring of patients prescribed second-generation antipsychotics. J Psychiatr Pract. 2013 Sep; 19(5):360-74.
    View in: PubMed
    Score: 0.029
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.