Evidence map›Paper›PMID 30117173›Full record

ArticleHematological oncology2019

Monoclonal gammopathy of undetermined significance in Chinese population: A prospective epidemiological study.

Ling Ma, Shuang Xu, Jianhua Qu, Jian Hou, Yang Wang, Lei Wen, Yang Liu, Ying Kang, Ming Jiang, Weijun Fu and 6 more

Open access · hybridAbstract readMulticenter Study
In one paragraph

Article in Hematological oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Monoclonal gammopathy in the setting of Pyoderma gangrenosum.Archives of dermatological research · 2024
    Article
  4. Article
  5. Review
  6. Article
  7. 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

16 authors at 4 institutions in 1 country.

Ling MaPeking University People's Hospital, Peking University Institute of Hematology, Beijing, China.
Shuang XuPeking University People's Hospital, Peking University Institute of Hematology, Beijing, China.
Jianhua QuDepartment of Hematology, Xinjiang Medical University First Affiliated Hospital, Xinjiang Uygur Autonomous Region, Urumqi City, 830054.
Jian HouDepartment of Hematology, Second Military Medical University Affiliated Chang Zheng Hospital, Shanghai, China.
Yang WangMedical Research and Biometrics Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College, Chinese Academy of Medical Science, Beijing, China.
Lei WenPeking University People's Hospital, Peking University Institute of Hematology, Beijing, China.
Yang LiuPeking University People's Hospital, Peking University Institute of Hematology, Beijing, China.
Ying KangPeking University People's Hospital, Peking University Institute of Hematology, Beijing, China.
Ming JiangDepartment of Hematology, Xinjiang Medical University First Affiliated Hospital, Xinjiang Uygur Autonomous Region, Urumqi City, 830054.
Weijun FuDepartment of Hematology, Second Military Medical University Affiliated Chang Zheng Hospital, Shanghai, China.
Juan DuDepartment of Hematology, Second Military Medical University Affiliated Chang Zheng Hospital, Shanghai, China.
Lin ZhouDepartment of Hematology, Second Military Medical University Affiliated Chang Zheng Hospital, Shanghai, China.
Xiaojun HuangPeking University People's Hospital, Peking University Institute of Hematology, Beijing, China.
Zhaoxia ZhangDepartment of Clinical Laboratory center, Xinjiang Medical University First Affiliated Hospital, Xinjiang Uygur Autonomous Region, Urumqi City, 830054.
Jin LuPeking University People's Hospital, Peking University Institute of Hematology, Beijing, China.ORCID http://orcid.org/0000-0001-5004-2741
Chinese medical doctor association multiple myeloma professional committee, Academic working group on multiple myeloma of Chinese geriatric medical association
Peking University · CNSecond Military Medical University · CNXinjiang Medical University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

Foundation for National Science Foundation of China 81670192
6 · The paper itself

Abstract

The aim of this study was to identify the prevalence of monoclonal gammopathy of undetermined significance (MGUS) in different groups of age and the clinical features in China. This multicenter prospective study enrolled 1797 health subjects. The overall prevalence of MGUS was 2.73%. The prevalence of different age groups was 1.19% (41-50 y), 1.16% (51-60 y), 2.19% (61-70 y), 3.66% (71-80 y), and 7.76% (≥81 y). The prevalence of MGUS in male (n = 843) was 2.97%, while the prevalence of MGUS in female (n = 952) was 2.52%, but this difference of the two groups was not statistically significant. As for subtype of MGUS, IgG subtype was 55.1% (27 cases), IgA subtype was 14.3%, and IgM subtype was 12.2%. The M protein of one case became negative after 3 months, and the others remained positive without obvious disease transformation (follow-up duration: 3-7 mo). Thus, the prevalence of MGUS in China was similar to that in Mexican Americans, but lower than that in the other Asian country, American Whites, American Blacks, and Africans, and had a trend of increase with age. Male had higher prevalence of MGUS in China. The most common subtype was IgG.

Indexed as

AdultAgedAged, 80 and overAge FactorsBone MarrowChinaFemaleFollow-Up StudiesHumansMaleMiddle AgedMonoclonal Gammopathy of Undetermined SignificancePopulation SurveillancePrevalencemonoclonal gammopathy of undetermined significanceM proteinprevalence

Identifiers

PMID30117173
PMCPMC6585751
OpenAlexW2886319287

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.