Evidence map›Paper›PMID 25120009›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2015

Baseline patient characteristics, incidence of CINV, and physician perception of CINV incidence following moderately and highly emetogenic chemotherapy in Asia Pacific countries.

Ruey Kuen Hsieh, Alexandre Chan, Hoon-Kyo Kim, Shiying Yu, Jong Gwang Kim, Myung-Ah Lee, Johan Dalén, Hun Jung, Yan Ping Liu, Thomas A Burke and 1 more

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Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Effects of food-based interventions in the management of chemoradiotherapy-induced nausea and vomiting: a systematic review.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023
    Pooled it
  3. Trial
  4. Trial
  5. Article
  6. A dynamic online nomogram for predicting nutritional risk in nasopharyngeal carcinoma patients after radiotherapy.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Article
  7. Article
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  9. A retrospective study on chemotherapy-induced nausea and vomiting in highly/moderately emetogenic chemotherapy: incidence and prescribing practice.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2022
    Article
  10. Review
  11. Study of the Mechanism of Antiemetic Effect ofDrug design, development and therapy · 2022
    Article
  12. Article
  13. Psychometric assessment of the Persian version of short clinical scale to measure chemotherapy-induced nausea and vomiting: the MASCC antiemetic tool.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2020
    Article
  14. Article
  15. Article
  16. Article
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  19. What occurs in the other 20% of cancer patients with chemotherapy-induced nausea and vomiting (CINV)? A single-institution qualitative study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2019
    Article
  20. Opportunities for cannabis in supportive care in cancer.Therapeutic advances in medical oncology · 2019
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Ruey Kuen HsiehCancer Center, Mackay Memorial Hospital, Taipei, Taiwan.
Alexandre Chan
Hoon-Kyo Kim
Shiying Yu
Jong Gwang Kim
Myung-Ah Lee
Johan Dalén
Hun Jung
Yan Ping Liu
Thomas A Burke
Dorothy M K Keefe

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis paper describes the incidence of chemotherapy-induced nausea and vomiting (CINV) after highly or moderately emetogenic chemotherapy (HEC or MEC) for cancer in six Asia Pacific countries.

methodsSequential adult patients naïve to chemotherapy and scheduled to receive at least two cycles of single-day HEC or MEC were enrolled in this prospective observational study. Patients completed the Multinational Association of Supportive Care in Cancer (MASCC) Antiemesis Tool on post-chemotherapy days 2 and 6 to record acute-phase (first 24 h) and delayed-phase (days 2-5) CINV.

resultsThere were 648 evaluable patients (318 HEC, 330 MEC) from Australia (n = 74), China (153), India (88), Singapore (57), South Korea (151), and Taiwan (125). Mean (SD) patient age was 56 (12) and 58% of patients were women; the most common primary cancers were breast (27%), lung (22%), and colon (20%). Overall in cycle 1, complete response (no emesis or rescue antiemetics) was recorded by 69% (95% confidence interval (CI), 66-73) of all evaluable patients, with country percentages ranging from 55 to 78% (p < 0.001). After HEC, no emesis was recorded by 75% and no nausea by 38% of patients. After MEC, 80% had no emesis and 50% no nausea. Acute-phase CINV was better controlled than delayed-phase CINV, and the control of nausea was the lowest of any CINV measure in all phases. In a CINV perception survey, physicians tended to overestimate emesis rate and underestimate nausea rate.

conclusionsCINV remains a substantial problem, and country-specific information about CINV can be useful in developing strategies to improve outcomes for patients undergoing chemotherapy.

Indexed as

AdultAgedAntiemeticsAntineoplastic AgentsAsiaFemaleHumansInduction ChemotherapyMaleMiddle AgedNauseaNeoplasmsPatientsPhysiciansProspective StudiesSurveys and QuestionnairesAntiemeticsAntineoplastic Agents

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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.