Evidence map›Paper›PMID 34168583›Full record

ArticleFrontiers in psychiatry2021

Mental Health in Persons With Chronic Myeloid Leukemia During the SARS-CoV-2 Pandemic: The Need for Increased Access to Health Care Services.

Mei Bao, Sen Yang, Robert Peter Gale, Yanli Zhang, Xiaoli Liu, Huanling Zhu, Rong Liang, Bingcheng Liu, Li Zhou, Zongru Li and 6 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. 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 11 institutions in 2 countries.

Mei BaoPeking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing, China.
Sen YangPeking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing, China.
Robert Peter GaleHematology Research Centre, Division of Experimental Medicine, Department of Medicine, Imperial College London, London, United Kingdom.
Yanli ZhangDepartment of Hematology, Henan Provincial Tumor Hospital, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China.
Xiaoli LiuDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Huanling ZhuDepartment of Hematology, West China Hospital, Sichuan University, Chengdu, China.
Rong LiangDepartment of Hematology, Xijing Hospital, Air Force Medical University, Xi'an, China.
Bingcheng LiuState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology, Chinese Academy of Medical Sciences, Tianjin, China.
Li ZhouShanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Zongru LiPeking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing, China.
Xuelin DouPeking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing, China.
Dayu ShiPeking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing, China.
Tao WangDepartment of Epidemiology and Biostatistics School of Public Health Peking University Health Science Center, Beijing, China.
Li MengDepartment of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Weiming LiDepartment of Hematology, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, China.
Qian JiangPeking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing, China.
Peking University · CNPeking University People's Hospital · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNHuazhong University of Science and Technology · CNImperial College London · GBShanghai Institute of Hematology · CNSouthern Medical University · CNTongji Hospital · CNWest China Hospital of Sichuan University · CNXijing Hospital · CNZhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mental health problems in the general population have been reported during the SARS-CoV-2 pandemic; however, there were rare data in persons with chronic myeloid leukemia (CML). Therefore, we performed a cross-sectional study on mental health evaluated using the 9-item Patient Health Questionnaire (PHQ-9; depression), the 7-item Generalized Anxiety Disorder (GAD-7; anxiety), and the 22-item Impact of Event Scale-Revised (IES-R; distress), including subscales of avoidance, intrusion, and hyper-arousal in persons with CML, non-cancer persons, and immediate family members of persons with cancer as controls (≥16 years) by an online survey. Data from 3,197 persons with CML and 7,256 controls were collected. In multivariate analyses, CML was significantly associated with moderate to severe depression (OR = 1.6; 95% Confidence Interval [CI], 1.4, 1.9;

Indexed as

anxietychronic myeloid leukemiadepressiondistressmental healthSARS-CoV-2

Identifiers

PMID34168583
PMCPMC8217438
OpenAlexW3165902189

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.