COMMENTARY

COMMENTARY ON “FACTORS ASSOCIATED WITH LONG-TERM FUNCTIONAL OUTCOMES AND PARTICIPATION IN PATIENTS WITH COLORECTAL CANCERS”

Mahesh alias Vibhav SANZGIRI, MOT (Oncology)1 symbol and Saumya DIXIT, MOT (Oncology)2 symbol

From the 1College of Occupational Therapy, National Institute of Speech and Hearing, Thiruvananthapuram, Kerala, and 2Palliative Program, Defeat NCD Foundation, Medical Oncology Department, Goa Medical College, Goa, India. E-mail: maheshsanzgiry@gmail.com

 

Citation: J Rehabil Med 2026; 58: jrm45830. DOI: https://doi.org/10.2340/jrm.v58.45830.

Copyright: © 2026 The Author(s). Published by MJS Publishing, on behalf of the Foundation for Rehabilitation Information. This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).

Published: May 25, 2026.

 

To the Editor,

I would like to extend my sincere congratulations to the authors for their insightful study published in your esteemed journal (1). This study presents valuable data on community-dwelling colorectal cancer (CRC) survivors, shedding light on the persistent challenges they face, such as fatigue, bowel dysfunction, and pain, as well as their long-term rehabilitation needs.

While the findings of this study are compelling, I would like to offer several points for consideration that may further enhance the clarity and clinical applicability of the research:

  1. Prehabilitation Window and Baseline Metrics: The study assesses patient functioning at an average of 2.5 years post-diagnosis. However, the methodology does not appear to account for whether patients underwent targeted prehabilitation prior to their primary resection surgery. Because pre-surgical medical and functional optimization directly impacts postoperative morbidity and long-term functional baselines (2, 3), controlling for prehabilitation interventions would provide a more accurate picture of why certain survivors demonstrated better long-term resilience and ClinFIT scores.

  2. Granularity of Clinical Rehabilitation Interventions: The authors utilize a double variable (received vs none) for “inpatient rehabilitation” in their multivariate regression model. While assessing general rehabilitation is helpful, grouping all therapies together limits the ability to draw specific clinical conclusions. A more granular analysis of medically driven interventions such as targeted pelvic floor rehabilitation for the 17% of patients reporting pelvic issues, or specific functional occupational training for stoma management (noted in 36% of participants), would significantly strengthen the study’s clinical utility over a generalized care model.

  3. Occupational Disruption in Adolescent and Young Adult (AYA) Cohorts: The study notes a substantial decrease in full-time employment, dropping from 46% pre-diagnosis to 27% at the time of assessment. While older age (> 60 years) was identified as a predictor of poorer functional outcomes and lower community integration, the unique occupational and vocational disruptions faced by younger demographics warrant distinct attention. A closer subgroup analysis of the AYA oncology population within this cohort could reveal specific, unmet vocational rehabilitation needs that differ fundamentally from those of the older, retired demographic.

  4. Efficacy of Symptom-Specific Management: The data highlight that fatigue (77%) and pain (42%) are primary drivers of poorer quality of life (QoL) and community integration. Moving forward, it would be highly beneficial to investigate which specific medical rehabilitation strategies (e.g., structured exercise oncology protocols or specific pain management modalities) most effectively mitigate these variables, rather than relying solely on the passage of time.

Building on the foundation laid by this study, I suggest future research focus on the longitudinal outcomes of highly specific, medical rehabilitation pathways, tracking functional status from the point of prehabilitation through to late survivorship. Furthermore, evaluating the effectiveness of these targeted interventions on returning patients to their primary occupations would offer deeper insights into optimizing recovery.

In conclusion, the authors have made an important contribution to the literature on colorectal cancer survivorship and rehabilitation. Their findings are highly relevant to clinical practice, providing valuable insights that can guide the development of more personalized, interdisciplinary treatment strategies for this patient population. I hope that the authors will continue to explore this important area of research, and I look forward to the future publication of their work.

Thank you for considering these comments, and I eagerly await the ongoing academic dialogue in this field.

REFERENCES

  1. Amatya B, Mohan H, Song K, Heriot A, Khan F. Factors associated with long-term functional outcomes and participation in patients with colorectal cancers. J Rehabil Med 2026; 58: jrm43262. https://doi.org/10.2340/jrm.v58.43262
  2. García Sánchez F, Mudarra García N. Evaluation of postoperative results after a presurgical optimisation programme. Perioper Med 2024; 13: 73. https://doi.org/10.1186/s13741-024-00430-7
  3. Shakya P, Poudel S. Prehabilitation in patients before major surgery: a review article. J Nepal Med Assoc. 2022; 60: 909–915. https://doi.org/10.31729/jnma.7545

REPLY TO COMMENTARY ON “FACTORS ASSOCIATED WITH LONG-TERM FUNCTIONAL OUTCOMES AND PARTICIPATION IN PATIENTS WITH COLORECTAL CANCERS”

Bhasker AMATYA* and Fary KHAN

From the Department of Rehabilitation Services, Peter MacCallum Cancer Centre, Melbourne Victoria, Australia. Current: Department of Physical Medicine and Rehabilitation, Qatar Rehabilitation Institute, Doha, Qatar. *Email: amatyab14@gmail.com

To the Editor,

We thank the Editor and the correspondents for their constructive comments on our recent publication (1). The points raised offer important perspectives that enhance the clinical discourse on cancer rehabilitation.

  1. Prehabilitation Window and Baseline Metrics: Prehabilitation plays a significant role in postoperative recovery and can influence both immediate morbidity and long-term functional trajectories. Our study was a cross-sectional assessment of community-dwelling survivors at an average of 2.4 years post-diagnosis, focusing on the survivorship outcomes in a real-world, community-dwelling cohort. Consequently, retrospective data on prehabilitation interventions and baseline preoperative functional status were not captured. Future longitudinal research should incorporate baseline (pre-diagnosis or preoperative) metrics to better delineate the trajectory of resilience and the specific impact of early-phase interventions on longer-term functional outcomes.

  2. Granularity of Clinical Rehabilitation Interventions: We appreciate the observation of categorization of rehabilitation exposure in the study. Rehabilitation programmes provided in our institution are individualized based on the patients’ needs and capabilities. We dichotomized the inpatient rehabilitation (received vs none) to allow inclusion in multivariate models while maintaining statistical robustness given the sample size and number of covariates. While this approach provided a broad overview of service utilization, it does not capture the qualitative differences between various therapy modalities, their duration and intensity. Distinguishing discipline-specific or symptom-targeted interventions (e.g., pelvic floor rehabilitation, stoma care training, fatigue management) was beyond the scope of our study. A “one-size-fits-all” generalized model is insufficient. Future studies with larger cohorts should incorporate intervention-level granularity ideally through prospective designs, to better delineate the effectiveness of specific rehabilitation strategies.

  3. Occupational Disruption in Adolescent and Young Adult (AYA) Cohorts: We thank the correspondent for highlighting this important dimension. Our findings demonstrate the substantial decline in full-time employment (from 46% pre-diagnosis to 27% at follow-up), underscoring the significant socioeconomic impact of CRC in the survivors. The data identified age > 60 years as a predictor for poorer functional outcomes (regression model: ≤ 60 vs > 60 years). We acknowledge that the vocational needs of younger survivors are different from those of older populations. Subgroup analysis to inform vocational rehabilitation, return-to-work programmes were beyond the scope of this study.

  4. Efficacy of Symptom-Specific Management: The identification of fatigue (77%) and pain (42%) as primary drivers of poor functioning, quality of life (QoL), and community reintegration were key findings in this study. However, given the observational and cross-sectional design, the study was not designed to evaluate the effectiveness of specific interventions, so this was beyond the scope of the study. The study findings, though, highlight symptom burden as a critical target for intervention and future research need to investigate the efficacy of targeted interventions for these prevalent issues.

In conclusion, we thank Sanzgiri and Dixit for the opportunity to engage in this academic discourse as it strengthens the evolving field of cancer rehabilitation and personalized, interdisciplinary care for a longitudinal, pathway-based approach to CRC rehabilitation. We agree that future research should incorporate the cancer care continuum (from prehabilitation through acute care to long-term survivorship), and evaluate targeted, discipline-specific rehabilitation interventions.