Evidence map›Paper›PMID 24245986›Full record

ArticleBritish journal of haematology2014

Differences in incidence and trends of haematological malignancies in Japan and the United States.

Dai Chihara, Hidemi Ito, Tomohiro Matsuda, Akiko Shibata, Akira Katsumi, Shigeo Nakamura, Sobue Tomotaka, Lindsay M Morton, Dennis D Weisenburger, Keitaro Matsuo

Abstract read
In one paragraph

Article in British journal of haematology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 180 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
180citing 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

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

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  19. MogamulizumabHaematologica · 2019
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120 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Dai ChiharaDivision of Epidemiology and Prevention, Aichi Cancer Centre Research Institute, Nagoya, Japan.
Hidemi Ito
Tomohiro Matsuda
Akiko Shibata
Akira Katsumi
Shigeo Nakamura
Sobue Tomotaka
Lindsay M Morton
Dennis D Weisenburger
Keitaro Matsuo

Funding

Multidisciplinary Studies of LymphomaZIACP010170 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI MORTON, LINDSAY · 2009 to 2025
$10.7M
Intramural NIH HHS ZIA CP010170
6 · The paper itself

Abstract

The incidence of a malignant disease reflects the genetic and cumulative exposure to the environment of a population. Therefore, evaluation of the incidence and trends of a disease in different populations may provide insights into its aetiology and pathogenesis. To evaluate the incidence of haematological malignancies according to specific subtypes, we used population-based registry data in Japan (N = 125 148) and the United States (US; N = 172 925) from 1993 to 2008. The age-adjusted incidence of haematological malignancies in Japan was approximately one-half that in the US but has been increasing significantly, whereas no significant change was seen in the US [annual percent change (95% C confidence interval): Japan, +2·4% (1·7, 3·1); US, +0·1% (-0·1, 0·2)]. Hodgkin lymphoma (HL) and non-Hodgkin lymphoma (NHL) showed the largest differences in incidence, with the most remarkable differences observed for chronic lymphocytic leukaemia, HL-nodular sclerosis, mycosis fungoides and cutaneous T-cell lymphoma. HL and NHL are increasing substantially in Japan but not in the US, suggesting that environmental exposures, such as Westernization of the life style may be causing this increase. Differences in the incidence and trends for specific subtypes also showed a marked contrast across subtypes, which, in turn, may provide significant new insights into disease aetiology in the future.

Indexed as

FemaleHematologic NeoplasmsHodgkin DiseaseHumansIncidenceJapanLymphoma, Non-HodgkinMaleRegistriesUnited Stateshaematological malignanciesincidenceJapansurveillance epidemiology and end resultstrend

Identifiers

PMID24245986
PMCPMC3907701

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Registered trials

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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.