Deep learning for cephalometric landmark detection: systematic review and meta-analysis. Schwendicke F, Chaurasia A, Arsiwala L, Lee JH, Elhennawy K, Jost-Brinkmann PG, Demarco F, Krois J. Clin Oral Investig. 2021 Jul;25(7):4299-4309.
This study was self-funded by the authors and their institutions.
Systematic review and meta-analysis.

DEEP LEARNING ALGORITHMS HAVE HIGH ACCURACY FOR AUTOMATED LANDMARK DETECTION ON 2D LATERAL CEPHALOGRAMS.

Irritable bowel syndrome (IBS) is a functional bowel disease characterized by abdominal pain or discomfort associated with altered bowel habits. Several clinical studies have demonstrated the effectiveness of acupuncture and moxibustion for IBS. Many systematic reviews of acupuncture and moxibustion for IBS have been published in recent years, but their results are not entirely consistent.
To evaluate the methodological, reporting, and evidence quality of systematic reviews of acupuncture and moxibustion for IBS.
Systematic reviews of acupuncture and moxibustion for IBS published before February 20, 2023 were searched in eight databases: PubMed, Embase, Cochrane Library, Web of Science, China National Knowledge Infrastructure, Wanfang Data, VIP Database for Chinese Technical Periodicals, and China Biology Medicine. The keywords used for literature search were acupuncture, moxibustion, systematic review, meta-analysis, and irritable bowel syndrome.
Systematic reviews and meta-analyses of randomized controlled trials of acupuncture and moxibustion for IBS were included.
Relevant information was independently extracted by two investigators. The A MeaSurement Tool to Assess systematic Reviews 2 (AMSTAR 2), Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA 2020), and Grading of Recommendations Assessment, Development and Evaluation (GRADE) were used to evaluate the methodological quality, reporting quality and evidence quality, respectively.
A total of 342 studies were retrieved and 15 systematic reviews were included. The results of AMSTAR 2 showed low methodological quality in 2 studies and very low methodological quality in the remaining 13 studies, with main issues being failure to register a protocol, incomplete search strategy, not providing a list of excluded studies, incomplete consideration of the risk of bias in the included studies, and a failure to assess the publication bias. The results of PRISMA 2020 showed seriously deficient reporting quality of 2 studies, somewhat deficient reporting quality of 12 studies, and relatively complete reporting quality of 1 study, with the main problems being lack of a complete search strategy, non-availability of a list of excluded studies with justification for their exclusion, not conducting heterogeneity and sensitivity analyses, not evaluating the credibility of the evidence, and not registering the protocol. The results of GRADE showed that the quality of the evidence is low or very low.
Most included systematic reviews interpreted findings to suggest that acupuncture and moxibustion have benefits for IBS. However, there is a need to improve the methodological, reporting and evidence quality of the systematic reviews. Larger, multicenter, rigorously designed randomized controlled trials and high-quality systematic reviews are required to obtain more robust evidence.
Ma YY, Hao Z, Chen ZY, Shen YX, Liu HR, Wu HG, Bao CH. Acupuncture and moxibustion for irritable bowel syndrome: An umbrella systematic review. J Integr Med. 2024; 22(1): 22-31.

Acupuncture and moxibustion for irritable bowel syndrome: An umbrella systematic review.

Is there a shared genetic or causal association of endometriosis with asthma or what biological mechanisms may underlie their potential relationships?
Our results confirm a significant but non-causal association of endometriosis with asthma implicating shared genetic susceptibility and biological pathways in the mechanisms of the disorders, and potentially, their co-occurrence.
Some observational studies have reported a pattern of co-occurring relationship between endometriosis and asthma; however, there is conflicting evidence and the aetiology, as well as the underlying mechanisms of the relationship, remain unclear.
We applied multiple statistical genetic approaches in the analysis of well-powered, genome-wide association study (GWAS) summary data to comprehensively assess the relationship of endometriosis with asthma. Endometriosis GWAS from the International Endogene Consortium (IEC, 17 054 cases and 191 858 controls) and asthma GWAS from the United Kingdom Biobank (UKB, 26 332 cases and 375 505 controls) were analysed. Additional asthma data from the Trans-National Asthma Genetic Consortium (TAGC, 19 954 cases and 107 715 controls) were utilized for replication testing.
We assessed single-nucleotide polymorphism (SNP)-level genetic overlap and correlation between endometriosis and asthma using SNP effect concordance analysis (SECA) and linkage disequilibrium score regression analysis (LDSC) methods, respectively. GWAS meta-analysis, colocalization (GWAS-PW), gene-based and pathway-based functional enrichment analysis methods were applied, respectively, to identify SNP loci, genomic regions, genes and biological pathways shared by endometriosis and asthma. Potential causal associations between endometriosis and asthma were assessed using Mendelian randomization (MR) methods.
SECA revealed significant concordance of SNP risk effects across the IEC endometriosis and the UKB asthma GWAS. Also, LDSC analysis found a positive and significant genetic correlation (rG = 0.16, P = 2.01 × 10-6) between the two traits. GWAS meta-analysis of the IEC endometriosis and UKB asthma GWAS identified 14 genome-wide significant (Pmeta-analysis < 5.0 × 10-8) independent loci, five of which are putatively novel. Three of these loci were consistently replicated using TAGC asthma GWAS and reinforced in colocalization and gene-based analyses. Additional shared genomic regions were identified in the colocalization analysis. MR found no evidence of a significant causal association between endometriosis and asthma. However, combining gene-based association results across the GWAS for endometriosis and asthma, we identified 17 shared genes with a genome-wide significant Fisher's combined P-value (FCPgene) <2.73 × 10-6. Additional analyses (independent gene-based analysis) replicated evidence of gene-level genetic overlap between endometriosis and asthma. Biological mechanisms including 'thyroid hormone signalling', 'abnormality of immune system physiology', 'androgen biosynthetic process' and 'brain-derived neurotrophic factor signalling pathway', among others, were significantly enriched for endometriosis and asthma in a pathway-based analysis.
The GWAS for endometriosis data were sourced from the International Endogen Consortium (IEC) and can be accessed by contacting the consortium. The GWAS data for asthma are freely available online at Lee Lab (https://www.leelabsg.org/resources) and from the Trans-National Asthma Genetic Consortium (TAGC).
Given we analysed GWAS datasets from mainly European populations, our results may not be generalizable to other ancestries.
This study provides novel insights into mechanisms underpinning endometriosis and asthma, and potentially their observed relationship. Findings support a co-occurring relationship of endometriosis with asthma largely due to shared genetic components. Agents targeting 'selective androgen receptor modulators' may be therapeutically relevant in both disorders. Moreover, SNPs, loci, genes and biological pathways identified in our study provide potential targets for further investigation in endometriosis and asthma.
National Health and Medical Research Council (NHMRC) of Australia (241,944, 339,462, 389,927, 389,875, 389,891, 389,892, 389,938, 443,036, 442,915, 442,981, 496,610, 496,739, 552,485, 552,498, 1,026,033 and 1,050,208), Wellcome Trust (awards 076113 and 085475) and the Lundbeck Foundation (R102-A9118 and R155-2014-1724). All researchers had full independence from the funders. Authors do not have any conflict of interest.

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