Evidence map›Paper›PMID 32039008›Full record

ArticleFrontiers in oncology2019

Prevalence and Incidence of Multiple Myeloma in Urban Area in China: A National Population-Based Analysis.

Shengfeng Wang, Lu Xu, Jingnan Feng, Yang Liu, Lili Liu, Jinxi Wang, Jack Liu, Xiaojun Huang, Pei Gao, Jin Lu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed, 2 pooled it
9.5field-weighted citation impact, top 1% 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

79 citing papers in PubMed, 2 syntheses or guidelines pooled it, 113 citations in OpenAlex.

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19 more citing papers are in PubMed but not listed here.

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 at 3 institutions in 1 country.

Shengfeng WangDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Lu XuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Jingnan FengDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Yang LiuBeijing Key Laboratory of Hematopoietic Stem Cell Transplantation and Collaborative Innovation Center of Hematology, Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China.
Lili LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Jinxi WangBeijing Healthcom Data Technology Co. Ltd., Beijing, China.
Jack LiuTakeda (China) International Trading Co., Ltd., Beijing, China.
Xiaojun HuangBeijing Key Laboratory of Hematopoietic Stem Cell Transplantation and Collaborative Innovation Center of Hematology, Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China.
Pei GaoDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Jin LuBeijing Key Laboratory of Hematopoietic Stem Cell Transplantation and Collaborative Innovation Center of Hematology, Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China.
Siyan ZhanDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Peking University · CNPeking University People's Hospital · CNPeking University Third Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple myeloma (MM) is the second most frequent malignancy of blood, and information on disease burden of MM is limited in developing countries. We aimed to estimate the prevalence and incidence of MM in China. We used data from the national urban employee and urban resident basic medical insurance from 2012 to 2016 in China. MM cases were based on the primary diagnosis (International Classification of Diseases (ICD) code, ICD for oncology, or text of diagnosis) of patients. The crude prevalence and incidence were 6.88 per 100,000 population (95% CI, 5.75-8.00) and 1.60 per 100,000 person-years (1.28-1.92), respectively. The standardized prevalence and incidence were 5.68 (5.64-5.72) and 1.15 (1.11-1.19), respectively. Overall, the rates were higher in males compared with females for prevalence (7.89 vs. 5.79,

Indexed as

Chinaincidencemedical insurancemultiple myelomaprevalence

Identifiers

PMID32039008
PMCPMC6993203
OpenAlexW3001644080

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.