Opioid weaning and pain management in postsurgical patients at the Toronto General Hospital Transitional Pain Service
Open accessAbstract
BACKGROUND: The perioperative period provides a critical window to address opioid use, particularly in patients with a history of chronic pain and presurgical opioid use. The Toronto General Hospital Transitional Pain Service (TPS) was developed to address the issues of pain and opioid use after surgery. AIMS: To provide program evaluation results from the TPS at the Toronto General Hospital highlighting opioid weaning rates and pain management of opioid-naïve and opioid-experienced surgical patients. METHODS: Two hundred fifty-one high-risk TPS patients were dichotomized preoperatively as opioid naïve or opioid experienced. Outcomes included pain, opioid consumption, weaning rates, and psychosocial/medical comorbidities. RESULTS: Six months postoperatively, pain and function were significantly improved. Opioid-naïve and opioid-experienced patients reduced consumption by 69% and 44%, respectively. Forty-six percent and 26% weaned completely. Consumption at hospital discharge predicted weaning in opioid-naïve patients. Pain catastrophizing, neuropathy, and recreational drug use predicted weaning in opioid-experienced patients. CONCLUSIONS: The TPS enabled almost half of opioid-naïve patients and one in four opioid-experienced patients to wean. The TPS successfully targets perioperative opioid use in complex pain patients.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The correlation coefficient for opioid-experienced patients in Figure 1 (r = 0.46) is lower than that in Figure 2 (r = 0.59), providing evidence for the efficacy of Transitional Pain Service treatment, which likely was responsible for reducing the magnitude of the relationship between hospital discharge and end of Transitional Pain Service treatment opioid use.
“Finally, note that the correlation coefficient for opioid-experienced patients shown in Figure 1 (r = 0.46) is lower than that in Figure 2 (r = 0.59), providing evidence for the efficacy of TPS treatment, which likely was responsible for reducing the magnitude of the relationship (i.e., breaking the link) between hospital discharge and end of TPS treatment opioid use.”
From Chronic postsurgical pain: From risk factor identification to multidisciplinary management at the Toronto General Hospital Transitional Pain Service (2019) · cites this paper as [65]
Split into 2 atoms — 0 confirmed, 1 partially supported, 1 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredTPS treatment is associated with improvements in pain, pain interference, pain catastrophizing, symptoms of anxiety and depression, and opioid use.
“Preliminary results from two nonrandomized, clinical practice–based trials indicate that TPS treatment is associated with improvements in pain, pain interference, pain catastrophizing, symptoms of anxiety and depression, and opioid use.”
From Chronic postsurgical pain: From risk factor identification to multidisciplinary management at the Toronto General Hospital Transitional Pain Service (2019) · cites this paper as [65]
The Results sections report reduced pain, pain interference, and opioid consumption during TPS follow-up. Anxiety and depression scores also fell on average, but the differences were not statistically significant. The paper measures pain catastrophizing and examines it as a predictor of opioid reduction, but the retrieved passages do not report an improvement in catastrophizing; its Methods describe one observational study, not two trials. Page numbers were not available in our copy. (LLM, conf=0.87)
Experimental — accuracy not yet measuredBy the 6-month mark, among opioid-experienced patients, 35 (25%) had been completely weaned, 50 (36%) had reduced opioid use by >50% of the hospital discharge dose, 27 (19%) had reduced opioid use by <50%, and 27 (19%) had increased opioid use since hospital discharge.
“In terms of weaning rates, by the 6-month mark, 35 opioid-experienced patients (25%) had been completely weaned, 50 (36%) had reduced their opioid use by >50% of the hospital discharge dose, 27 (19%) had reduced their opioid use by <50%, and 27 (19%) had increased opioid use since hospital discharge.”
From Chronic postsurgical pain: From risk factor identification to multidisciplinary management at the Toronto General Hospital Transitional Pain Service (2019) · cites this paper as [65]
The Results (Group characteristics; page unavailable) report opioid-experienced patients’ consumption falling by 44.3% from discharge to their final visit, an average of 5.2 months after surgery. The Abstract (Results; page unavailable) says 26% weaned completely, but the retrieved passages do not substantiate the claimed counts of 35, 50, and 27 or the >50% and <50% categories. The Discussion (page unavailable) reports 26—not 27—patients whose consumption increased after discharge. (LLM, conf=0.84)
Experimental — accuracy not yet measuredBrief Pain Inventory pain intensity and interference scores at the last Transitional Pain Service visit were significantly lower than their respective post-hospital discharge scores in both opioid-naïve and opioid-experienced groups.
“Importantly, Brief Pain Inventory (BPI) pain intensity and interference scores at the last TPS visit were significantly lower than their respective post–hospital discharge scores (pre-TPS treatment) in both opioid-naïve and opioid-experienced groups”
From Chronic postsurgical pain: From risk factor identification to multidisciplinary management at the Toronto General Hospital Transitional Pain Service (2019) · cites this paper as [65]
In Results > Pain and physical function (page unavailable), BPI pain interference scores are reported as significantly lower at the final TPS visit in both groups. NRS pain intensity also declined in both groups, but the reported significance test compares the groups at the final visit, not each group’s final score with its discharge score. The claim’s assertion of significant reductions in pain intensity within both groups is therefore not established. (LLM, conf=0.88)
Experimental — accuracy not yet measuredFor the entire sample of opioid-experienced patients, the predictors of opioid dose reduction from hospital discharge to the last Transitional Pain Service visit included lower pain catastrophizing scores, lower prevalence of neuropathic pain, and a negative history of recreational drug use.
“For the entire sample of opioid-experienced patients, the predictors of opioid dose reduction from hospital discharge to the last TPS visit included lower pain catastrophizing scores, lower prevalence of neuropathic pain, and a negative history of recreational drug use.”
From Chronic postsurgical pain: From risk factor identification to multidisciplinary management at the Toronto General Hospital Transitional Pain Service (2019) · cites this paper as [65]
The Results section, “Predictors of opioid consumption and weaning rates” (page not provided), identifies less pain catastrophizing and lower neuropathic-pain scores as predictors of greater opioid reduction in opioid-experienced patients. It reports an association with a history of recreational drug use (r = −0.265), but does not explicitly identify a negative history as the predictor. It measures neuropathic-pain level, not prevalence. (LLM, conf=0.84)
Experimental — accuracy not yet measured
By 6 months after surgery, among opioid-naïve patients, 51 (46%) had been successfully weaned from opioids, 39 (35%) had reduced opioid use by >50% of their hospital discharge dose, 11 (10%) had reduced opioid use by <50%, and 9 (8%) had increased opioid use from hospital discharge.
“In terms of weaning rates, by 6 months after surgery, 51 (46%) had been successfully weaned from opioids, 39 (35%) had reduced opioid use by >50% of their hospital discharge dose, 11 (10%) had reduced opioid use by <50%, and 9 (8%) had increased their opioid use from hospital discharge.”
From Chronic postsurgical pain: From risk factor identification to multidisciplinary management at the Toronto General Hospital Transitional Pain Service (2019) · cites this paper as [65]
The Results (Group characteristics; page not provided) report opioid-use reductions among 110 opioid-naïve patients at a final visit averaging 6.6 months after surgery. The passages retrieved from our copy do not give the claimed counts or percentages for complete weaning, reductions above or below 50%, or increased use, so the detailed breakdown cannot be verified. (LLM, conf=0.78)
Experimental — accuracy not yet measuredAlmost half of opioid-naïve patients and one in four opioid-experienced patients were opioid free by the 6-month point.
“Almost half of opioid-naïve patients and one in four opioid-experienced patients were opioid free by the 6-month point.”
From Chronic postsurgical pain: From risk factor identification to multidisciplinary management at the Toronto General Hospital Transitional Pain Service (2019) · cites this paper as [65]
The daily opioid dose of opioid-experienced patients almost doubled to 140.5 ± 124.0 MME/day by the time they were discharged from hospital after surgery.
“The daily dose almost doubled to 140.5 ± 124.0 MME/day by the time they were discharged from hospital after surgery.”
From Chronic postsurgical pain: From risk factor identification to multidisciplinary management at the Toronto General Hospital Transitional Pain Service (2019) · cites this paper as [65]
At the last Transitional Pain Service visit approximately 6 months after surgery, opioid-experienced patients were taking 78.3 ± 113.9 MME/day, a 44.3% decrease, essentially the same dose they had been taking prior to surgery.
“At the last TPS visit ~6 months after surgery they were taking 78.3 ± 113.9 MME/day (44.3% decrease), which was essentially the same dose they had been taking prior to surgery (Figure 1).”
From Chronic postsurgical pain: From risk factor identification to multidisciplinary management at the Toronto General Hospital Transitional Pain Service (2019) · cites this paper as [65]
Opioid-experienced patients (n = 137) were taking a mean of 78.8 ± 100.2 MME/day prior to surgery.
“Opioid-experienced patients (n = 137) were taking a mean of 78.8 ± 100.2 MME/day prior to surgery.”
From Chronic postsurgical pain: From risk factor identification to multidisciplinary management at the Toronto General Hospital Transitional Pain Service (2019) · cites this paper as [65]
Opioid-naïve patients' opioid dose was reduced to 37.3 ± 61.1 MME/day at the final Transitional Pain Service visit, a 65% decrease, approximately 6 months after surgery.
“which was reduced to 37.3 ± 61.1 MME/day at the final TPS visit (65% decrease) ~6 months after surgery.”
From Chronic postsurgical pain: From risk factor identification to multidisciplinary management at the Toronto General Hospital Transitional Pain Service (2019) · cites this paper as [65]
Among opioid-experienced patients who increased opioid use from hospital discharge to 6 months, the subgroup was more likely to be male, an organ transplant patient, and to have been diagnosed with a mental health disorder.
“When compared with opioid-experienced patients who successfully reduced opioid consumption, this subgroup was more likely to be male, an organ transplant patient, and to have been diagnosed with a mental health disorder.”
From Chronic postsurgical pain: From risk factor identification to multidisciplinary management at the Toronto General Hospital Transitional Pain Service (2019) · cites this paper as [65]
The only predictor of dose reduction for opioid-naïve patients was the daily morphine milligram equivalent at hospital discharge.
“In contrast, the only predictor of dose reduction for opioid-naïve patients was the daily morphine milligram equivalent at hospital discharge.65”
From Chronic postsurgical pain: From risk factor identification to multidisciplinary management at the Toronto General Hospital Transitional Pain Service (2019) · cites this paper as [65]
The opioid-naïve group reported larger improvements in pain interference than the opioid-experienced group.
“with the former group reporting larger improvements in pain interference than the latter group (Figure 3).”
From Chronic postsurgical pain: From risk factor identification to multidisciplinary management at the Toronto General Hospital Transitional Pain Service (2019) · cites this paper as [65]
Opioid-naïve patients (n = 110) were taking a mean of 106.7 ± 80.6 MME/day at the time of hospital discharge after surgery.
“In contrast, opioid-naïve patients, who nonetheless were identified as high risk for postsurgical pain (n = 110), were taking a mean of 106.7 ± 80.6 MME/day at the time of hospital discharge after surgery”
From Chronic postsurgical pain: From risk factor identification to multidisciplinary management at the Toronto General Hospital Transitional Pain Service (2019) · cites this paper as [65]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
The validity of the Hospital Anxiety and Depression Scale
Bjelland, I., Dahl, A. A., Haug, T. T., & Neckelmann, D. (2002) · Journal of Psychosomatic Research · doi:10.1016/s0022-3999(01)00296-3 · Cited by 9,779 · cited 1× · see citing works
“The psychometric properties (test–retest reliability, internal consistency, construct, and concurrent validity) of the HADS are excellent.(22)”
MethodThe Pain Catastrophizing Scale: Development and validation.
Sullivan, M. J. L., Bishop, S. R., & Pivik, J. (1995) · Psychological Assessment · doi:10.1037//1040-3590.7.4.524 · Cited by 8,227 · see citing works
CDC Guideline for Prescribing Opioids for Chronic Pain—United States, 2016
Dowell, D., Haegerich, T. M., & Chou, R. (2016) · JAMA · doi:10.1001/jama.2016.1464 · Cited by 5,161 · see citing works
Validation of the Brief Pain Inventory for chronic nonmalignant pain
Tan, G., Jensen, M. P., Thornby, J. I., & Shanti, B. F. (2004) · The Journal of Pain · doi:10.1016/j.jpain.2003.12.005 · Cited by 1,416 · cited 1× · see citing works
“psychometric properties, including validity and reliability in patients with chronic nonmalignant pain.(20)”
BackgroundChronic post-surgical pain: 10 years on
Macrae, W. A. (2008) · British Journal of Anaesthesia · doi:10.1093/bja/aen099 · Cited by 992 · see citing works
Rates and risk factors for prolonged opioid use after major surgery: population based cohort study
Clarke, H., Soneji, N. D. R., Ko, D. T., Yun, L., & Wijeysundera, D. N. (2014) · BMJ · doi:10.1136/bmj.g1251 · Cited by 941 · see citing works
Self-citationSubstance Abuse: A Comprehensive Textbook
Lowinson, J. H. (1992) · Cited by 910 · see citing works
Veehof, M. M., Oskam, M.-J., Schreurs, K. M. G., & Bohlmeijer, E. T. (2011) · PAIN · doi:10.1016/j.pain.2010.11.002 · Cited by 792 · cited 4× · see citing works
“The development, staff, and overview of the TPS has been previously described.(17,18) In addition, we”
MethodInfluentialLong-term Analgesic Use After Low-Risk Surgery
Alam, A. Q. (2012) · Archives of Internal Medicine · doi:10.1001/archinternmed.2011.1827 · Cited by 788 · see citing works
Transition from acute to chronic postsurgical pain: risk factors and protective factors
Katz, J., & Seltzer, Z. (2009) · Expert Review of Neurotherapeutics · doi:10.1586/ern.09.20 · Cited by 782 · see citing works
Self-citationDworkin, R. H., Turk, D. C., Revicki, D. A., Harding, G., Coyne, K. S., Peirce-Sandner, S., Bhagwat, D., Everton, D., Burke, L. B., Cowan, P., et al. (2009) · Pain · doi:10.1016/j.pain.2009.02.007 · Cited by 761 · see citing works
Effectiveness of acute postoperative pain management: I. Evidence from published data
Dolin, S. J., Cashman, J. N., & Bland, J. M. (2002) · British Journal of Anaesthesia · doi:10.1093/bja/89.3.409 · Cited by 737 · see citing works
Acceptance and Commitment Therapy (ACT) for Chronic Pain: A Systematic Review and Meta-Analyses
Hughes, L. S., Clark, J., Colclough, J. A., Dale, E., & McMillan, D. (2017) · The Clinical Journal of Pain · doi:10.1097/ajp.0000000000000425 · Cited by 611 · see citing works
Improving Postoperative Pain Management
White, P. F., & Kehlet, H. (2009) · Anesthesiology · doi:10.1097/aln.0b013e3181c6316e · Cited by 333 · see citing works
Katz, J., Weinrib, A., Fashler, S., Katznelson, R., Shah, B., Ladak, S., Jiang, J., Li, Q., McMillan, K., Santa Mina, D., et al. (2015) · Journal of Pain Research · doi:10.2147/jpr.s91924 · Cited by 315 · cited 12× · see citing works
“We have also attempted to target those with the most protracted weaning rates, modifying our approach and expectations regarding their expected progress through the weaning process.(13) Our team has developed risk factors for developing chronic pain postsurgically, which were used as a guide for physicians at TGH (Tab…”
BackgroundMethodInfluentialSelf-citationPreoperative Reduction of Opioid Use Before Total Joint Arthroplasty
Nguyen, L.-C. L., Sing, D. C., & Bozic, K. J. (2016) · The Journal of Arthroplasty · doi:10.1016/j.arth.2016.01.068 · Cited by 272 · see citing works
Challenges in accessing multidisciplinary pain treatment facilities in Canada
Peng, P., Choinière, M., Dion, D., Intrater, H. M., LeFort, S. M., Lynch, M., Ong, M., Rashiq, S., Tkachuk, G. A., Veillette, Y., et al. (2007) · Canadian Journal of Anesthesia/Journal canadien d anesthésie · doi:10.1007/bf03016631 · Cited by 182 · see citing works
Kaplovitch, E., Gomes, T., Camacho, X., Dhalla, I. A., Mamdani, M., & Juurlink, D. N. (2015) · PLoS ONE · doi:10.1371/journal.pone.0134550 · Cited by 153 · see citing works
Huang, A., Azam, A., Segal, S., Pivovarov, K., Katznelson, G., Ladak, S. S., Mu, A., Weinrib, A., Katz, J., & Clarke, H. (2016) · Pain Management · doi:10.2217/pmt-2016-0004 · Cited by 115 · see citing works
Self-citationThe Conundrum of Opioid Tapering in Long-Term Opioid Therapy for Chronic Pain: A Commentary
Manhapra, A., Arias, A. J., & Ballantyne, J. C. (2018) · Substance Abuse · doi:10.1080/08897077.2017.1381663 · Cited by 98 · see citing works
Abid Azam, M., Weinrib, A. Z., Montbriand, J., Burns, L. C., McMillan, K., Clarke, H., & Katz, J. (2017) · Canadian Journal of Pain · doi:10.1080/24740527.2017.1325317 · Cited by 90 · cited 2× · see citing works
“interventions for pain and addiction as part of their multimodal approach.(16) Physiotherapists and other allied health professionals offer other services based on patient need.”
BackgroundSelf-citationSystematic review of multidisciplinary chronic pain treatment facilities
Fashler, S. R., Cooper, L. K., Oosenbrug, E. D., Burns, L. C., Razavi, S., Goldberg, L., & Katz, J. (2016) · Pain Research and Management · doi:10.1155/2016/5960987 · Cited by 88 · see citing works
Self-citationUsichenko, T. I., Röttenbacher, I., Kohlmann, T., et al. (2012) · British Journal of Anaesthesia · doi:10.1093/bja/aes352 · Cited by 78 · see citing works
New approach for treatment of prolonged postoperative pain: APS Out-Patient Clinic
Tiippana, E., Hamunen, K., Heiskanen, T., Nieminen, T., Kalso, E., & Kontinen, V. K. (2016) · Scandinavian Journal of Pain · doi:10.1016/j.sjpain.2016.02.008 · Cited by 76 · see citing works
Neuropathic pain in the acute pain service: a prospective survey
Hayes, C., Browne, S., Lantry, G., & Burstal, R. (2002) · Acute Pain · doi:10.1016/s1366-0071(02)00026-8 · Cited by 75 · see citing works
An expert opinion on postoperative pain management, with special reference to new developments
Dahl, J. B., Mathiesen, O., & Kehlet, H. (2010) · Expert Opinion on Pharmacotherapy · doi:10.1517/14656566.2010.499124 · Cited by 53 · see citing works
Rahman, Q. A., Janmohamed, T., Pirbaglou, M., Ritvo, P., Heffernan, J. M., Clarke, H. A., & Katz, J. D. (2017) · JMIR mhealth and uhealth · doi:10.2196/mhealth.7871 · Cited by 47 · see citing works
Self-citationDiby, M., Romand, J.-A., Frick, S., Heidegger, C. P., & Walder, B. (2008) · Journal of Critical Care · doi:10.1016/j.jcrc.2007.11.005 · Cited by 44 · see citing works
Hassamal, S., Haglund, M., Wittnebel, K., & Danovitch, I. (2016) · Scandinavian Journal of Pain · doi:10.1016/j.sjpain.2016.06.007 · Cited by 44 · see citing works
Huang, A., Katz, J., & Clarke, H. (2015) · Pain Management · doi:10.2217/pmt.15.7 · Cited by 39 · see citing works
Self-citationClarke, H. A. (2015) · Expert Review of Clinical Pharmacology · doi:10.1586/17512433.2016.1129896 · Cited by 33 · see citing works
Self-citationEpidemiology and incidence of acute and chronic Post-Surgical pain.
Sansone, P., Pace, M. C., Passavanti, M. B., Pota, V., Colella, U., & Aurilio, C. (2015) · PubMed · Cited by 30 · see citing works
Bruce, J. (2010) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199235766.003.0019 · Cited by 4 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- [19]Cleeland C. Measurement of pain by subjective report. Adv Pain Res Ther. 1989; 12: 391– 403.
Cited by
Sorted by citations
Katz, J., Weinrib, A. Z., & Clarke, H. (2019) · Canadian Journal of Pain · doi:10.1080/24740527.2019.1574537 · Cited by 87 · see citing works
“was the daily morphine milligram equivalent at hospital discharge.(65)”
BackgroundSelf-citationTreating persistent pain after breast cancer surgery
Khan, J. S., Ladha, K. S., Abdallah, F., & Clarke, H. (2020) · Drugs · doi:10.1007/s40265-019-01227-5 · Cited by 57 · see citing works
Self-citationBirnie, K. A., Stinson, J., Isaac, L., Tyrrell, J., Campbell, F., Jordan, I. P., Marianayagam, J., Richards, D., Rosenbloom, B. N., Clement, F., et al. (2022) · Canadian Journal of Pain · doi:10.1080/24740527.2022.2038031 · Cited by 13 · see citing works
- Authors
- Clarke, H., Azargive, S., Montbriand, J., Nicholls, J., Sutherland, A., Valeeva, L., Boulis, S., McMillan, K., Ladak, S. S. J., Ladha, K., Katznelson, R., McRae, K., Tamir, D., Lyn, S., Huang, A., Weinrib, A., & Katz, J.
- Affiliations
- University Health Network (CA)
- University of the West Indies (TT)
- Providence Health Care (CA)
- University of Toronto (CA)
- Corresponding author
- Clarke, Hance
- ORCID
- Venue
- Canadian Journal of Pain
- Publisher
- Informa UK Limited
- Published
- 2018-01
- Volume
- 2
- Issue
- 1
- Pages
- 236-247
- ISSN
- 2474-0527 (ISSN-L)
- PMC
- PMC8730554
- OpenAlex
- W2888085709
- Cited by
- 84
- References
- 33
- Citations by year
- 2026: 9 · 2025: 14 · 2024: 12 · 2023: 12 · 2022: 10 · 2021: 10 · 2020: 7 · 2019: 9
- FWCI
- 6.20
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Canadian Journal of Pain (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- H.C. is supported by a Merit Award from the Department of Anesthesia, University of Toronto (HSRF)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Opioid Use Disorder Treatment
- Health Sciences › Medicine › Surgery › Anesthesia and Pain Management
- Health Sciences › Medicine › Anesthesiology and Pain Medicine › Pain Management and Opioid Use
- Keywords
- opioid weaning, postoperative pain, transitional pain service, perioperative opioid use, chronic pain, opioid-naive patients, opioid consumption, pain catastrophizing, neuropathy, recreational drug use, program evaluation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review