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Record W4402512874 · doi:10.1097/io9.0000000000000083

The promise of sacral neuromodulation in idiopathic slow-transit constipation

2024· article· en· W4402512874 on OpenAlexaff
Ayush Anand, Nathnael Abera Woldehana, Samuel B. Bayisa, Prakasini Satapathy, Rakesh Sharma, Divya Sharma, Mithhil Arora, Mahalaqua Nazli Khatib, Shilpa Gaidhane, Quazi Syed Zahiruddin, Sarvesh Rustagi

Bibliographic record

VenueInternational Journal of Surgery Open · 2024
Typearticle
Languageen
FieldMedicine
TopicUrinary Bladder and Prostate Research
Canadian institutionsImpact
Fundersnot available
KeywordsMedicineSacral nerve stimulationConstipationNeuromodulationChronic constipationPhysical medicine and rehabilitationPhysical therapyUrologyInternal medicine

Abstract

fetched live from OpenAlex

Dear Editor, Idiopathic slow-transit constipation (STC) is a debilitating condition marked by prolonged colonic transit times, significantly impairing the quality of life of those affected1,2. The pathophysiology of STC is poorly understood, complicating the development of effective treatments. Traditional conservative treatments often fall short for those with refractory STC, leaving patients and clinicians in a quagmire of ineffective therapies and persistent symptoms2. Sacral neuromodulation (SNM), a technique initially developed for urinary incontinence3, has emerged as a promising alternative, offering new hope to those suffering from this perplexing condition4. SNM works by delivering electrical stimulation to the sacral nerves, influencing intestinal motility and offering a novel mechanism of action distinct from traditional laxatives or surgical interventions like subtotal colectomy, which carries higher risks and mixed outcomes3,4. A recent multicenter, open label, randomized clinical trial (NCT02961582), compared the efficacy of SNM to personalized conservative treatment (PCT) in 67 patients4. Forty-one patients received SNM and 26 underwent PCT. The study reported a treatment success rate of 53.7% in the SNM group compared to only 3.8% in the PCT group4. This study sheds light on the role of SNM in managing refractory idiopathic STC, with implications that could reshape current treatment paradigms. First, for patients who have not responded to extensive conservative measures, SNM offers a viable and effective alternative. The significant improvement in defecation frequency and associated symptoms like constipation severity provides a compelling argument for considering SNM early in the management of refractory STC4. Beyond alleviating physical symptoms, SNM has shown remarkable benefits in enhancing patients’ overall quality of life4. These benefits extend beyond mere symptom relief, impacting various aspects of wellbeing, which is particularly important for a condition known to cause significant psychological and social distress. Also, the trial reported manageable adverse events, most of which were minor and resolved without long-term sequelae4. Despite its promise, the implementation of SNM comes with its set of challenges and considerations. First and foremost, accurate patient selection is crucial, as demonstrated by the rigorous inclusion criteria used in the trial4. Patients with co-existing conditions like outlet obstruction or previous significant abdominal surgeries were excluded, which underscores the importance of patient selection in achieving good outcomes with SNM. Moreover, SNM involves the use of implantable devices and potentially multiple surgical interventions, which can be costly. Healthcare systems will need to evaluate the cost-effectiveness of this treatment and consider potential long-term savings from reduced hospital visits and treatments for constipation-related complications. Furthermore, while the trial provides compelling short-term data, long-term outcomes are crucial for a chronic condition like STC. Future studies should focus on the durability of SNM effects and the potential need for repeat interventions. In conclusion, SNM is an emerging treatment modality of refractory idiopathic STC. Its ability to significantly improve symptoms and quality of life in a condition often resistant to other treatments marks a paradigm shift in management. However, the broader application of SNM will depend on continued research, particularly long-term studies, and thoughtful consideration of patient selection, economic factors, and procedural expertise. Ethical approval Ethical approval is not applicable for this correspondence article. Consent Informed consent is not applicable for this correspondence article. Sources of funding None. Author contribution A.A.: conceptualization, project administration, supervision, validation, writing – original draft, and writing – review and editing; N.A.W. and S.B.B.: project administration, validation, writing – original draft, and writing – review and editing; P.S., R.K.S., D.S., M.A., M.N.K., S.G., Q.S.Z, and S.R.: supervision, validation, and writing – review and editing. Conflicts of interest disclosure No conflict of interest to declare. Research registration unique identifying number (UIN) Not applicable. Guarantor Ayush Anand. Data availability statement None. Provenance and peer review Not commissioned, externally peer-reviewed Assistance with the study None.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.015
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.004
Open science0.0020.001
Research integrity0.0070.011
Insufficient payload (model declined to judge)0.0030.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.082
GPT teacher head0.389
Teacher spread0.307 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2024
Admission routes1
Has abstractyes

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