Meta-Analysis Open Access
Copyright ©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Clin Cases. Apr 16, 2022; 10(11): 3449-3460
Published online Apr 16, 2022. doi: 10.12998/wjcc.v10.i11.3449
Association of chronic obstructive pulmonary disease with mild cognitive impairment and dementia risk: A systematic review and meta-analysis
Li-Ying Zhao, Department of Geriatrics, Traditional Chinese Medical Hospital of Zhuji, Zhuji 311800, Zhejiang Province, China
Xue-Lai Zhou, Department of Respiratory Medicine, Traditional Chinese Medical Hospital of Zhuji, Zhuji 311800, Zhejiang Province, China
ORCID number: Li-Ying Zhao (0000-0002-8106-609X); Xue-Lai Zhou (0000-0002-6652-7038).
Author contributions: Zhao LY conceived and designed the study; Zhao LY and Zhou XL were involved in literature search and data collection; Zhao LY analyzed the data; Zhao LY and Zhou XL wrote the paper; Zhao LY edited the manuscript; all authors read and approved the final manuscript.
Conflict-of-interest statement: The authors deny any conflict of interest for this article.
PRISMA 2009 Checklist statement: The authors have read the PRISMA 2009 Checklist, and manuscript was prepared and revised according to the PRISMA 2009 Checklist.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Xue-Lai Zhou, MD, Deputy Director, Department of Respiratory Medicine, Traditional Chinese Medical Hospital of Zhuji, No. 521 Donger Road, Zhuji 311800, Zhejiang Province, China. zxl13626883598@163.com
Received: November 10, 2021
Peer-review started: November 10, 2021
First decision: January 11, 2022
Revised: January 25, 2022
Accepted: February 23, 2022
Article in press: February 23, 2022
Published online: April 16, 2022

Abstract
BACKGROUND

Chronic obstructive pulmonary disease (COPD) is a common public health issue that has been linked to cognitive dysfunction.

AIM

To investigate the relationship between COPD and a risk of mild cognitive impairment (MCI) and dementia.

METHODS

A comprehensive literature search of the PubMed, Embase, Google Scholar, and Cochrane Library electronic databases was conducted. Pooled odds ratios (OR) and mean differences (MD) with 95% confidence intervals (CIs) were calculated using a random or fixed effects model. Studies that met the inclusion criteria were assessed for quality using the Newcastle Ottawa Scale.

RESULTS

Twenty-seven studies met all the inclusion criteria. Meta-analysis yielded a strong association between COPD and increased risk of MCI incidence (OR = 2.11, 95%CI: 1.32-3.38). It also revealed a borderline trend for an increased dementia risk in COPD patients (OR = 1.16, 95%CI: 0.98-1.37). Pooled hazard ratios (HR) using adjusted confounders also showed a higher incidence of MCI (HR = 1.22, 95%CI: -1.18 to -1.27) and dementia (HR = 1.32, 95%CI: -1.22 to -1.43) in COPD patients. A significant lower mini-mental state examination score in COPD patients was noted (MD = -1.68, 95%CI: -2.66 to -0.71).

CONCLUSION

Our findings revealed an elevated risk for the occurrence of MCI and dementia in COPD patients. Proper clinical management and attention are required to prevent and control MCI and dementia incidence in COPD patients.

Key Words: Mild cognitive impairment, Chronic obstructive pulmonary disease, Dementia, Meta-analysis

Core Tip: Chronic obstructive pulmonary disease (COPD) is a common public health issue that has been linked to cognitive dysfunction. The current meta-analysis was performed to investigate the relationship between COPD and mild cognitive impairment (MCI) and dementia risk. Twenty-seven studies met all the inclusion criteria. Meta-analysis yielded a strong association between COPD and an increased risk of MCI incidence (odds ratio = 2.11, 95% confidence interval: 1.32-3.38). Our findings revealed an elevated risk for the occurrence of MCI and dementia in COPD patients. Proper clinical management and attention are required to prevent and control MCI and dementia incidence in COPD patients.



INTRODUCTION

Chronic obstructive pulmonary disease (COPD) is a progressive multicomponent lung disease that occurs more commonly in the elderly[1]. It is characterised by a partially irreversible chronic obstruction of lung airflow resulting in an abnormal decrease in blood oxygen levels, potentially leading to cognitive dysfunction[2]. Various studies have estimated that the prevalence of cognitive impairment in COPD patients ranges from 16% to 57%[3,4]. A prior review of 17 individual studies by Yohannes et al[5] showed that 32% of COPD patients showed some signs of cognitive dysfunction, with no less than 25% of patients showing at least mild cognitive impairment (MCI).

Cognitive impairment in COPD patients may compromise their capability to self-care and adhere to treatment regimens, making the relationship between COPD and cognitive impairment important for devising therapeutic approaches for COPD[6,7]. Some studies have focused on the relationship between COPD and neurologic function, but with inconsistent conclusions[8]. Data based on the Atherosclerosis Risk in Communities study showed that reduced lung function was associated with poor cognitive performance and higher risk of dementia hospitalization[9]. Data based on Taiwanese National Health Insurance Research Database showed that COPD patients exhibited a 1.27-fold higher risk of developing dementia[10].

To our knowledge, there has only been one published meta-analysis investigating the statistical association of COPD with cognition dysfunction. Zhang et al[11] concluded that COPD patients had an elevated risk of cognitive dysfunction. Similarly, only one single meta-analysis has looked at the relationship between COPD and dementia. Pooling data from three studies, Wang et al[12] showed that COPD patients faced a higher risk of developing dementia. However, these important clinical questions have not been investigated in a more thorough and conclusive manner. As such, we conducted a comprehensive systematic review and meta-analysis to investigate the association between COPD and the risk of MCI and dementia.

MATERIALS AND METHODS
Search strategy

Our meta-analysis was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines[13]. We conducted a comprehensive search using PubMed, Embase, Google Scholar, and Cochrane Library online databases for articles published prior to March 31, 2021. The following key terms were used: “Chronic Obstructive Pulmonary Disease” OR “COPD” OR “Chronic Obstructive Airway Disease” OR “COAD” AND “Mild Cognitive impairment” OR “MCI” OR “Cognitive dysfunction” OR “Cognitive decline” AND “Dementia”. Studies cited by articles that met the inclusion criteria were manually searched to identify additional eligible studies. Study eligibility was not restricted based on language, sex, or publication year. Systematic reviews, conference abstracts, and editorials were excluded due to insufficient data presentation details.

Eligibility criteria

Inclusion criteria: We included studies that: (1) Investigated the association between COPD and a risk of MCI or dementia; (2) adopted a definite outcome of cognitive impairment or dementia in COPD and non-COPD subjects; (3) reported raw values necessary to calculate odds ratios (OR) or hazard ratios (HRs) for the incidence of cognitive impairment or dementia; (4) contained case controls, were prospective or retrospective-cohort, or had a cross-sectional design; and (5) compared the association between COPD and non-COPD patients.

Exclusion criteria: We excluded studies that: (1) Did not report relevant outcomes; or (2) were full-text inaccessible.

Data collection and analysis

All eligible studies were separately screened by two reviewers to determine whether they met the inclusion criteria. Screening was first conducted at the abstract content level, with relevant studies further investigated at the full-text level. Articles published in languages other than English were machine-translated using Google Translate, with the translated version reviewed. The following information was extracted from the included studies for summarization and analysis: Author, year, study design type, group investigated, sample size, diagnostic criteria for COPD, adjusted confounder for calculating pooled ratio, MCI prevalence, dementia prevalence, and scales used for cognitive assessment.

Quality assessment

Study quality was assessed independently by two separate reviewers using the Newcastle-Ottawa Scale (NOS)[14], which examined three components: Selection, comparability, and ascertainment of outcome. Disagreements were resolved through discussion.

Publication bias

Publication bias was assessed using Funnel plot analysis and Egger’s regression test[15,16].

Statistical analysis

Mean differences (MDs) with 95% confidence intervals (CIs) were calculated for continuous outcomes. For categorical outcomes, ORs and HRs with 95%CIs were calculated to estimate pooled findings. Heterogeneity between studies (measurable heterogeneity) was evaluated using I2 statistics. If I2 values > 50%, a random-effects model was applied, otherwise a fixed-effect model was applied. Statistical analyses were performed using Review Manager software (Version 5.3, Copenhagen: The Nordic Cochrane Centre, The Cochrane Collaboration 2014).

RESULTS
Literature search

Preliminary screening of PubMed, Embase, Google Scholar, and Cochrane Library databases yielded 234 results (Figure 1). Review of article title and abstract resulted in 72 remaining studies. Full-text review further excluded 45, leaving 27 studies[3,4,10,17-40] that were ultimately included in the meta-analysis.

Figure 1
Figure 1 Flow diagram for study selection.
Properties and characteristics of included studies

Relevant study data, including the diagnostic criteria for COPD, sample size, and disease assessment scales for all the 27 included studies[3,4,10,17-40] are shown in Table 1. The included studies were published between 1996 and 2020, and study sample sizes ranged from 20 to 243420 subjects. Ten studies[17,19-22,28,29,34,35,39] were case-controlled, ten were cross-sectional[3,4,24-26,32,36-38,40], four were prospective-cohort[18,27,30,31], and three were retrospective-cohort[10,23,33]. Seventeen studies[4,17-22,25,31,32,34-40] reported cognitive impairment data based on the mini-mental state examination (MMSE) scoring system. Twenty-two studies used the GOLD criteria, three[10,23,33] reported the ICD-9 CM criteria, and two[3,26] followed the standardized guidelines for COPD diagnosis. The quality score was high in twelve studies, medium in seven, and low in six (Supplementary Table 1). The assessment criteria involving the NOS uses three broad criteria: Selection, comparability, and exposure, where the selection defines and analyses the cases and control subjects included in the study, comparability defines the matching or comparison of cases and control subjects for better empirical investigation, and exposure determines whether the study was conducted in a blinded or unbiased manner along with the response of the subjects.

Table 1 Baseline and clinical characteristics of included studies.
No.
Ref.
Country or region
Study design
Groups investigated
Age
Diagnostic criteria
Assessment scales
Adjusted variables
MCI (%)
Dementia (%)
NOS quality score
1Mermit Çilingir et al[17], 2020TurkeyCase ControlCOPD-E (n = 30); COPD-S (n = 54); Control (n = 37)COPD-E-71.8 ± 12.3; COPD-S- 62 ± 10.2; Control-65.9 ± 12.8GOLDMMSE; RCSNANANA7
2Xie et al[18], 2019ChinaProspective Cohort COPD (n = 515); No COPD (n = 4220)COPD-82.9 ± 9.7GOLDMMSEAge, gender, marital status, education level, alcohol drinking, current exercise, BMI, baseline prevalence of HTN, DM, and stroke18.8; 14.62.9; 1.68
3Samareh Fekri et al[19], 2017 IranCase ControlCOPD (n = 87); Control (n = 60)COPD-60.4 ± 9.8; Control-58.1 ± 9.8GOLDMMSEAge and sex51.7; 36.6NA7
4Gupta et al[20], 2013India Case ControlCOPD-(n = 40); Control (n = 40)COPD-57.2 ± 9.1; Control-56.9 ± 9.2GOLDMMSEAge NANA5
5Li et al[21], 2013China Case ControlMild COPD-(n = 27); Severe COPD-(n = 35); Control (n = 27)Mild COPD-70.4 ± 7.7; Severe COPD-68.2 ± 7.8; Control-66.2 ± 7.1GOLDMMSEAge, sex, education level, BMI, smoking status, and CVDNANA6
6Li et al[22], 2013China Case ControlMild COPD-(n = 37); Severe COPD-(n = 48); Control (n = 37)Mild COPD-69.2 ± 8.1; Severe COPD-67.6 ± 7.6; Control-66.5 ± 6.9GOLDMMSEAge, sex, education level, BMI, smoking status, and CVDNANA8
7Liao et al[23], 2015Taiwan Retrospective CohortCOPD (n = 20492); No COPD (n = 40765)COPD-68.2 ± 12.4; No COPD-67 ± 12.5ICD-9CMNAAge and sexNA13.29.117
8Martinez et al[24], 2014MichiganCross-sectionalCOPD (n = 1812); No COPD (n = 15723)COPD-70.3 ± 9.0; No COPD-68.7 ± 9.9GOLDADLBaseline cognition16.5; 12.43.9; 3.18
9Dal Negro et al[25], 2015ItalyCross-sectionalCOPD with LTOT (n = 73); COPD without LTOT (n = 73)COPD with LTOT-70.9 ± 8.9; No COPD with LTOT-71.2 ± 9.1GOLDMMSEMRC; CATAge, gender, smoking history, BMI, dyspnoea score, ABG, and lung function32.8NA6
10Singh et al[26], 2013United StatesCross-sectionalCOPD (n = 288); No COPD (n = 1639)MCI-82.7 ± 11.2; Normal Cognition-79.7 ± 12.5Standard criteriaBDI; CDRBDI-II Depression, history of stroke, APOEe4 genotype, DM, HTN, CAD, and BMI14.6; 27.1NA7
11Singh et al[3], 2014United StatesCross-sectionalTotal COPD (n = 1425); COPD (n = 171); No COPD (n = 1254)COPD-80.8 ± 7.5; No COPD-79.1 ± 7.5Standard criteriaBDIBDI-II depression, history of stroke, APOEe4 genotype, smoking, DM, HTN, CAD, z-scores, and BMINANA7
12Lutsey et al[27], 2019United StatesProspective CohortCOPD (n = 2490); No COPD (n = 6108)COPD-55.1 ± 5.8; No COPD-53.9 ± 5.7GOLDNAAge, sex, education level, race, center, cigarette smoking and pack-years of smoking, physical activity, BMI, systolic BP, BP medication use, diabetes, HDL, LDL lipid-lowering medications, CAD, heart failure, stroke, apolipoprotein E genotype, and fibrinogenNANA6
13Siraj et al[28], 2020United KingdomCase ControlCOPD (n = 64397); No COPD (n = 243420)COPD-66.4 ± 10.9; No COPD-65.7 ± 11Standard criteriaNAAge, sex, GP, BMI, smoking status, modified CCI, CV disease, corticosteroid use, and socioeconomic classNANA7
14Villeneuve et al[29], 2012CanadaCase ControlTotal COPD (n = 45); Control (n = 50)COPD-68.4 ± 8.7; Control-67.4 ± 8.7GOLDMMSE; MoCAAge and education36.0; 12.0NA5
15Yeh et al[30], 2018TaiwanProspective CohortCOPD (n = 10260); No COPD (n = 20513)COPD-65.6 ± 11.8; No COPD-65.5 ± 11.9GOLDNAAge, sex, each comorbidity, inhaled corticosteroid, and oral steroidsNA11.1; 8.814
16Ozge et al[31], 2006TurkeyProspective cohortCOPD (n = 54); Control (n = 24)COPD-64.6 ± 8.5; Control-62.4 ± 8.4GOLDMMSE,BDS, CDR, IADLAge and sexNANA6
17Favalli et al[32], 2008TurkeyCross-sectionalCOPD (n = 21); Control (n = 20)COPD-74.6 ± 5.4; Control-73.7 ± 4.5GOLDMMSE; GDSNANANA5
18Liao et al[10], 2015TaiwanRetrospective CohortCOPD (n = 8640); No COPD (n = 17280)COPD-68.7 ± 10.7; No COPD-68.7 ± 10.7ICD-9CMSelf-administered questionnaire Age and sexNA5.22; 7.066
19Thakur et al[33], 2010United StatesRetrospective CohortCOPD (n = 1202); Control (n = 302)COPD-58.2 ± 6.2; Control-58.5 ± 6.2ICD-9CMMRC; BODE index; MMSEAge, sex, race, educational attainment, and smoking history5.5; 2.0NA7
20Zhou et al[34], 2012ChinaCase ControlCOPD (n = 110); Control (n = 110)COPD-80.9 ± 1.7; Control-80.8 ± 1.5GOLDCDR; MMSEAge and educationNANA6
21Dodd et al[4], 2013United KingdomCross-sectionalCOPD-E (n = 30); COPD-S (n = 50); Control (n = 30)COPD-E-70 ± 11; COPD-S-69 ± 8; Control-65 ± 8GOLDMMSEAge NANA7
22Isoaho et al[35], 1996FinlandCase ControlCOPD (n = 81); Control (n = 245)COPD-70.4 ± 4.8; Control-71.3 ± 5.9GOLDMMSEAge and sex17.0; 13.07.1; 3.26
23Lima et al[36], 2007BrazilCross-sectionalCOPD (n = 30); Control (n = 34)COPD-65 ± 8; Control-66 ± 8GOLDMMSE; DSM-IVNANANA5
24Ozyemisci-Taskiran et al[37], 2015TurkeyCross-sectionalCOPD-E (n = 133); COPD-S (n = 34); Control (n = 34)COPD-E-69.3 ± 8.9; COPD-S-67.5 ± 8.9; Control-68.3 ± 8.8GOLDMMSE; HAD; BODEAge and sex22.6NA6
25Salik et al[38], 2007TurkeyCross-sectionalCOPD (n = 32); Control (n = 26)COPD-66.7 ± 2.5; Control-65.7 ± 7.3GOLDMMSE; MCSNANANA5
26Sarınç Ulaşlı et al[39], 2013TurkeyCase ControlCOPD (n = 112); Control (n = 44)COPD-65 ± 7.6; Control-64 ± 9GOLDMMSEAge and sexNANA5
27Tomruk et al[40], 2015TurkeyCross-sectionalCOPD (n = 35); Control (n = 36)COPD-62.9 ± 6.3; Control-60.8 ± 6.2GOLDMMSEAge NANA4
Association of COPD with MCI risk

Ten studies[3,18,19,24,26-29,33,37] detailing 71174 COPD patients and 22082 control subjects investigated the association of COPD with MCI risk. Our meta-analysis indicated a strong association between COPD and an increased MCI incidence risk (OR = 2.11, 95%CI: 1.32-3.38). A significant degree of heterogeneity was observed (I2 = 99%). Using a random effects model, we demonstrated that COPD patients were 1.26 times more susceptible to MCI compared to non-COPD controls (Figure 2A).

Figure 2
Figure 2 Forest plot examining the association of chronic obstructive pulmonary disease with mild cognitive impairment risk. A: Odds ratios; B: Hazard ratios.
Adjusted HRs for MCI risk in COPD patients

Pooling adjusted HRs from four studies[3,18,27,28] investigating the relationship between COPD and MCI incidence revealed a significant association (HR = 1.22, 95%CI: -1.18 to -1.27; I2 = 26%] (Figure 2B).

Association of COPD with risk of dementia

Seven studies[10,18,23,24,27,28,30] involving 108606 COPD patients and 347939 control subjects, investigated the relationship between COPD and dementia risk. Pooling these data showed a borderline trend for an increased dementia risk in COPD patients compared to non-COPD control patients (OR = 1.16, 95%CI: 0.98-1.37). A high degree of heterogeneity was observed (I2 = 94%). Our meta-analysis showed that COPD patients were more susceptible to dementia (Figure 3A).

Figure 3
Figure 3 Forest plot examining the association of chronic obstructive pulmonary disease with dementia risk. A: Odds ratios; B: Hazard ratios.
Adjusted HRs for dementia risk in COPD patients

Pooling adjusted HRs from six studies[10,18,23,27,28,30] investigating the relationship between COPD and dementia incidence revealed a significant association (HR = 1.32, 95%CI: -1.22 to -1.43; I2: 99%) (Figure 3B).

MMSE score in COPD and non-COPD patients

Seventeen studies[4,17-22,32,35-40,25,31,34] involving 1392 COPD patients and 5097 control subjects, reported mean MMSE score data for both COPD and non-COPD patients. Pooling these results showed a significant lower MMSE score in COPD patients compared to controls (MD = -1.68, 95%CI: -2.66 to -0.71] (Figure 4). A high degree of heterogeneity among these seventeen studies was observed (I2 = 96%).

Figure 4
Figure 4 Forest plot examining mini-mental state examination score differences between chronic obstructive pulmonary disease and control groups.
Publication bias

Egger’s tests did not show any significant publication bias for the examined comparisons. Figure 5 shows the funnel plot of the studies included in each comparison. However, no significant publication biases were observed for the association of COPD with risk of MCI and dementia, MCI risk in COPD patients, dementia risk in COPD patients, and comparison of MMSE score between the COPD and control groups.

Figure 5
Figure 5 Funnel plot. A: Mild cognitive impairment (MCI); B: Dementia; C: MCI risk in chronic obstructive pulmonary disease (COPD) patients; D: Dementia risk in COPD patients; E: Comparison of mini-mental state examination score between COPD and control groups.
DISCUSSION

This study is the first systematic review and meta-analysis examining the association between COPD and the risk of MCI and dementia. We found that patients with COPD are 2.11 times more susceptible to MCI and 1.16 times more susceptible to dementia. Moreover, lower MMSE scores were observed in COPD patients, indicating greater cognitive impairment.

COPD-associated neurological impairment and dementia put a great burden on the patients and the healthcare system. In particular, declining cognition leads to COPD patients requiring more assistance for daily activities[41]. Our analysis was performed based on the reported adjustments within individual studies for confounding factors such as age, sex, smoking, body mass index, education level, diabetes mellitus, and previous history of stroke or cardiovascular disease[10,23,27,28,30]. Studies by Thakur et al[33], Singh et al[26], and Martinez et al[24] reported data as ORs for adjusted confounders and therefore were not included in the calculations for pooled incidence for MCI or dementia.

From a clinical approach, COPD can lead to pulmonary encephalopathy, hypoxemia, and inflammation, all of which may impact brain function[42]. Indeed, COPD patients exhibit a unique neurophysiological profile stemming from neurotoxicity featuring deficits of attention, motor, memory, and cognitive domain executive function[4]. Interestingly, the relationship between COPD and dementia persists even after accounting for the presence of vascular disease, suggesting that COPD is an independent predictor of dementia.

Our findings are consistent with the previous literature[5,11,12,42,43]. However, the available literature on the relationship between dementia and COPD remains limited, as only seven studies were found for this meta-analysis. Our study also had several other limitations. The included studies had different designs, which may be one of the leading causes of heterogeneity. Additional sources of heterogeneity may include different geographical population, variation in the diagnostic criteria of COPD, and diversity in the factors undertaken for the multivariate analysis of each included studies. The included studies also lacked long-term follow-up data, as well as data that would facilitate subgroup analysis based on co-morbidities, age, and gender. Finally, different studies varied on how they assessed and diagnosed COPD and cognitive impairment.

CONCLUSION

Our meta-analysis revealed an elevated risk for MCI and dementia in COPD patients. Proper clinical management and attention are necessary to prevent or mitigate the incidence of MCI and dementia in COPD patients.

ARTICLE HIGHLIGHTS
Research background

Chronic obstructive pulmonary disease (COPD) is a common public health issue that has been linked to cognitive dysfunction. No clear evidence is available for the relationship between COPD and mild cognitive impairment (MCI) and dementia risk.

Research motivation

To our knowledge, there has only been one published meta-analysis with limited number studies investigating the statistical association of COPD with cognition dysfunction.

Research objectives

The current meta-analysis was performed to investigate the relationship between COPD and MCI and dementia risk.

Research methods

A comprehensive search was performed using PubMed, Embase, Google Scholar, and Cochrane Library online databases for articles published prior to March 31, 2021.

Research results

Twenty-seven studies met all the inclusion criteria. Meta-analysis yielded a strong association between COPD and an increased risk of MCI incidence. It also revealed a borderline trend for an increased dementia risk in COPD patients. A significant lower MMSE score in COPD patients was noted.

Research conclusions

Our findings revealed an elevated risk for the occurrence of MCI and dementia in COPD patients. Proper clinical management and attention are required to prevent and control MCI and dementia incidence in COPD patients.

Research perspectives

Further large prospective observational studies are needed to strengthen the evidence on this important subject.

Footnotes

Provenance and peer review: Unsolicited article; Externally peer reviewed.

Peer-review model: Single blind

Specialty type: Medicine, research and experimental

Country/Territory of origin: China

Peer-review report’s scientific quality classification

Grade A (Excellent): 0

Grade B (Very good): B, B

Grade C (Good): 0

Grade D (Fair): 0

Grade E (Poor): 0

P-Reviewer: Biondi A, Byeon H S-Editor: Fan JR L-Editor: Wang TQ P-Editor: Yu HG

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