Evidence map›Paper›PMID 38739310›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2024

Fine-tuning the needle: analysis of acupuncturist response to alarming events during gynecological oncology surgery.

Eran Ben-Arye, Galit Galil, Noah Samuels, Yakir Segev, Meirav Schmidt, Orit Gressel

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Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Eran Ben-Arye *Integrative Oncology Program, The Oncology Service, Lin, Zebulun, and Carmel Medical Centers, Clalit Health Services, 35 Rothschild St., Haifa, Israel. eranben@netvision.net.il.
Galit Galil *Integrative Oncology Program, The Oncology Service, Lin, Zebulun, and Carmel Medical Centers, Clalit Health Services, 35 Rothschild St., Haifa, Israel.
Noah SamuelsCenter for Integrative Complementary Medicine, Shaarei Zedek Medical Center, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel.
Yakir SegevRappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel.
Meirav SchmidtUnit of Gynecological Oncology, Department of Obstetrics and Gynecology, Carmel Medical Center, Haifa, Israel.
Orit GresselIntegrative Oncology Program, The Oncology Service, Lin, Zebulun, and Carmel Medical Centers, Clalit Health Services, 35 Rothschild St., Haifa, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveExamining an intra-operative acupuncture/acupressure setting, with real-time "fine-tuning" in response to alarming events (AEvs) during gynecological oncology surgery.

methodsNarratives of acupuncturists providing intraoperative acupuncture during gynecological oncology surgery were qualitatively analyzed. These described real time "fine-tuning" in response to AEvs during surgery, identified through hemodynamic changes (e.g., systolic/diastolic arterial pressure); bispectral index (BIS) elevation; and feedback from surgeons and anesthesiologists. Documentation of acupuncturist responses to AEvs was addressed as well.

resultsOf the 48 patients in the cohort, 33 had at least one intraoperative AEv (69%), of which 30 were undergoing laparoscopic surgery and 18 laparotomies. A total of 77 AEvs were documented throughout surgery (range 1-7; mean: 2.3 events per patient), identified through increased (63 events) or decreased (8) mean arterial pressure (MAP); increased BIS levels (2), or other hemodynamic parameters (4). Integrative oncology interventions implemented in response to AEs included acupressure alone (59); combining acupressure with acupuncture (10); or acupuncture alone (4). In 54 (70%) events, documentation was provided from beginning to conclusion of the AEv, with a mean duration of 9.7 min, with 32 events including a documented anesthesiologist intervention.

conclusionThe present study demonstrated the feasibility of intraoperative acupuncture with acupressure, with ongoing "fine-tuning" to AEvs identified through objective pain-related parameters (MAP, heart rate and BIS) and real-time input from surgeons and anesthesiologists. Documentation of the intraoperative IO practitioner's response to these AEvs is important, and should be addressed in future research of the innovative integrative model of care. TRIAL REGISTRATION NUMBER: CMC-18-0037 (Carmel Medical Center, June 11, 2018).

Indexed as

Genital Neoplasms, FemaleGynecologic Surgical ProceduresAcupressureAcupuncture TherapyAdultAgedFemaleHumansIntraoperative CareLaparoscopyMiddle AgedAcupunctureGynecological oncologyIntegrative medicineIntegrative oncologyIntraoperativePain

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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.