Evidence map›Paper›PMID 30016246›Full record

ArticleEmerging infectious diseases2018

Epidemiology of Diphyllobothrium nihonkaiense Diphyllobothriasis, Japan, 2001-2016.

Hiroshi Ikuno, Shinkichi Akao, Hiroshi Yamasaki

Open access · diamondAbstract read
In one paragraph

Article in Emerging infectious diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.8field-weighted citation impact, top 15% of its field
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

13 citing papers in PubMed, 30 citations in OpenAlex.

  1. Review
  2. Raw Whitebait as a Probable Source of HumanJournal of general and family medicine · 2026
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  3. The Brief Case: Tastes of travel-intestinal importation.Journal of clinical microbiology · 2026
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  8. The Brief Case: the Boy Who Cried Worm.Journal of clinical microbiology · 2023
    Review
  9. Article
  10. Article
  11. Human Health and Ocean Pollution.Annals of global health · 2020
    Review
  12. Article
  13. Article
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

3 authors at 1 institution in 1 country.

Hiroshi Ikuno
Shinkichi Akao
Hiroshi Yamasaki
National Institute of Infectious Diseases · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We report 958 cases of cestodiasis occurring in Japan during 2001-2016. The predominant pathogen was Diphyllobothrium nihonkaiense tapeworm (n = 825), which caused 86.1% of all cases. The other cestode species involved were Taenia spp. (10.3%), Diplogonoporus balaenopterae (3.3%), and Spirometra spp. (0.2%). We estimated D. nihonkaiense diphyllobothriasis incidence as 52 cases/year. We observed a predominance of cases during March-July, coinciding with the cherry salmon and immature chum salmon fishing season, but cases were present year-round, suggesting that other fish could be involved in transmission to humans. Because of increased salmon trade, increased tourism in Japan, and lack of awareness of the risks associated with eating raw fish, cases of D. nihonkaiense diphyllobothriasis are expected to rise. Therefore, information regarding these concerning parasitic infections and warnings of the potential risks associated with these infections must be disseminated to consumers, food producers, restaurant owners, physicians, and travelers.

Indexed as

AdolescentAdultAgedAged, 80 and overAnimalsChildChild, PreschoolDiphyllobothriasisDiphyllobothriumFemaleFood ParasitologyHumansJapanMaleMiddle AgedRetrospective StudiescestodiosisDibothriocephalus nihonkaiensisdiphyllobothriasisDiphyllobothrium nihonkaienseepidemiologyfoodborne parasitic diseasefood safetyJapanparasitesraw fishtapeworm

Identifiers

PMID30016246
PMCPMC6056094
OpenAlexW2824862123

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.