Trace and evaluation systems for health services quality in rural and remote areas: a systematic review

The reporting quality of N-of-1 trials and protocols still needs improvement

OBJECTIVE

To evaluate the reporting quality of single-patient (N-of-1) trials and protocols based on the CONSORT Extension for N-of-1 trials (CENT) statement and the standard protocol items: recommendations for interventional trials (SPIRIT) extension and elaboration for N-of-1 trials (SPENT) checklist to examine the factors that influenced reporting quality.

METHODS

Four electronic databases were searched to identify N-of-1 trials and protocols from 2015 to 2020. Quality was assessed by two reviewers. We calculated the overall scores based on binary responses in which "Yes" was scored as 1 (if the item was fully reported), and "No" was scored as 0 (if the item was not clearly reported or not definitely stated).

RESULTS

A total of 78 publications (55 N-of-1 trials and 23 protocols) were identified. The mean reporting score (SD) of the N-of-1 trials and protocols were 29.24 (0.89) and 29.61 (1.83), respectively. For the items related to outcomes, sample size, allocation concealment protocol, and informed consent materials, the reporting quality was low. Our results showed that the year of publication (t = -0.793, p = 0.872 for the trials and t = 1.352, p = 0.623 for the protocols) and the impact factor of the journal (t = 1.416, p = 0.619 for the trials and t = 0.359, p = 0.667 for the protocols) were not factors associated with better reporting quality.

CONCLUSION

With the publication of the CENT 2015 statement and the SPENT 2019 checklist, authors should adhere to the relevant reporting guidelines and improve the reporting quality of N-of-1 trials and protocols.

Guideline for the treatment of no light perception eyes induced by mechanical ocular trauma

Severe mechanical ocular trauma with no light perception (NLP) predicts a poor prognosis of visual acuity and enucleation of the eyeball. Since the innovative treatment concept of exploratory vitreoretinal surgery has developed and treatment technology has advanced, the outcomes of severe ocular trauma treatment in NLP patients have greatly improved. However, there remains a lack of unified standards for the determination, surgical indication, and timing of vitrectomy in NLP eye treatment. To address these problems, we aimed to create evidence-based medical guidelines for the diagnosis, treatment, and prognosis of mechanical ocular trauma with NLP. Sixteen relevant recommendations for mechanical ocular trauma with NLP were obtained, and a consensus was reached. Each recommendation was explained in detail to guide the treatment of mechanical ocular trauma associated with NLP.

LncRNA DUXAP8 as a prognostic biomarker for various cancers: A meta-analysis and bioinformatics analysis

Background: Dual homeoboxes A pseudogene 8 (DUXAP8) is a newly discovered long noncoding RNA that has been shown to function as an oncogene in a variety of human malignant cancers. By integrating available data, this meta-analysis sought to determine the relationship between clinical prognosis and DUXAP8 expression levels in diverse malignancies.

Materials and methods: A systematic search was performed to identify eligible studies from several electronic databases from their inception to 25 October 2021. Pooled odds ratios and hazard ratios with 95% CI were used to estimate the association between DUXAP8 expression and survival. For survival analysis, the Kaplan-Meier method and COX analysis were used. Furthermore, we utilized Spearman’s correlation analysis to explore the correlation between DUXAP8 and tumor mutational burden (TMB), microsatellite instability (MSI), the related genes of mismatch repair (MMR), DNA methyltransferases (DNMTs), and immune checkpoint biomarkers.

Results: Our findings indicated that overexpression of DUXAP8 was related to poor overall survival (OS) (HR = 1.63, 95% CI, 1.49–1.77, p < 0.001). In addition, elevated DUXAP8 expression was closely related to poor OS in several cancers in the TCGA database. Moreover, DUXAP8 expression has been associated with TMB, MSI, and MMR in a variety of malignancies.

Conclusion: This study revealed that DUXAP8 might serve as a prognostic biomarker and potential therapeutic target for cancer. It can be used to improve cancer diagnosis, discover potential treatment targets, and improve prognosis.

The impact of main air pollutants on respiratory emergency department visits and the modification effects of temperature in Beijing, China

Research indicates that air pollution is a risk factor of an increased occurrence of diseases. However, evidence is limited on the effects of the pollution index on disease and whether temperature modifies the effects. The objectives were (i) to explore the effects of the Air Pollution Index (API) and specific indices for pollutants (PM₁₀, NO₂, and SO₂) on respiratory emergency department (ED) visits in Beijing and (ii) to investigate whether temperature modified the effects of main air pollutants on respiratory ED visits. A quasi-Poisson generalized additive model was employed to examine the association of API and indices for pollutants with respiratory disease. Bivariate response surface model and stratification model (cold days, moderately cold days, moderately hot days, and hot days) were used to analyze the modification effects of temperature on air pollution and respiratory disease. The results showed that (i) the effects of API on respiratory diseases were similar to the index for PM₁₀ in Beijing. (ii) API and PM₁₀ were associated with increased respiratory ED visits on cold days and moderately cold days. Furthermore, the effects of PM₁₀ on respiratory disease on moderately cold days [Relative risk (RR) = 1.006 per 10 μg/m³, 95% CI 1.002-1.009] were stronger than on cold days (RR = 1.004 per 10 μg/m³, 95% CI 1.000-1.008). (iii) PM₁₀ (API) had a greater impact on children aged 10 to 17 years and females on moderately cold days, while the elderly had an increased risk of respiratory disease to PM₁₀ (RR = 1.008 per 10 μg/m³, 95% CI 1.002-1.013) and API (RR = 1.013 per 10, 95% CI 1.004-1.022) on cold days. In conclusion, temperature can modify the association between API and respiratory morbidity. A stronger correlation existed between PM₁₀ and respiratory diseases on moderately cold days, while the effects of cold days were less than that attributable to moderately cold days.

Diagnostic accuracy of machine-learning-assisted detection for anterior cruciate ligament injury based on magnetic resonance imaging: Protocol for a systematic review and meta-analysis

BACKGROUND

Although many machine learning algorithms have been developed to detect anterior cruciate ligament (ACL) injury based on magnetic resonance imaging (MRI), the performance of different algorithms required further investigation. The objectives of this current systematic review are to evaluate the diagnostic accuracy of machine-learning-assisted detection for ACL injury based on MRI and find the current best algorithm.

METHOD

We will conduct a comprehensive database search for clinical diagnostic tests in PubMed, EMBASE, Cochrane Library, and Web of science without restrictions on publication status and language. The reference lists of the included articles will also be checked to identify additional studies for potential inclusion. Two reviewers will independently review all literature for inclusion and assess their methodological quality using Quality Assessment of Diagnostic Accuracy Studies version 2. Clinical diagnostic tests exploring the efficacy of machine-learning-assisted system for detecting ACL injury based on MRI will be considered for inclusion. Another 2 reviewers will independently extract data from eligible studies based on a pre-designed standardized form. Any disagreements will be resolved by consensus. RevMan 5.3 and Stata SE 12.0 software will be used for data synthesis. If appropriate, we will calculate the summary sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio of machine-learning-assisted diagnosis system for ACL injury detection. A hierarchical summary receiver operating characteristic (HSROC) curve will also be plotted, and the area under the ROC curve (AUC) is going to calculated using the bivariate model. If the pooling of results is considered inappropriate, we will present and describe our findings in diagrams and tables and describe them narratively.

RESULT

This is the first systematic assessment of machine learning system for the detection of ACL injury based on MRI. We predict it will provide highquality synthesis of existing evidence for the diagnostic accuracy of machine-learning-assisted detection for ACL injury and a relatively comprehensive reference for clinical practice and development of interdisciplinary field of artificial intelligence and medicine.

CONCLUSION

This protocol outlined the significance and methodologically details of a systematic review of machine-learning-assisted detection for ACL injury based on MRI. The ongoing systematic review will provide high-quality synthesis of current evidence of machine learning system for detecting ACL injury.

REGISTRATION

The meta-analysis has been prospectively registered in PROSPERO (CRD42019136581).

Robotic-assisted minimally invasive esophagectomy versus the conventional minimally invasive one: A meta-analysis and systematic review

BACKGROUND

Conventional video-assisted minimally invasive esophagectomy (MIE) is safe and associated with low rates of morbidity and mortality, but the two-dimensional monitor reduces eye-hand harmony and viewing yield. Robotic-assisted minimally invasive esophagectomy (RAMIE) with its virtual reality simulators offers a realistic three-dimensional environment that facilitates dissection in the narrow working space, but it is expensive and requires longer operative time. Therefore, the aim of this meta-analysis was to assess the safety and feasibility of RAMIE versus MIE in patients with esophageal cancer.

MATERIAL AND METHODS

PubMed, EMBASE, Cochrane library, and Chinese Biomedical Literature databases were systematically searched up to 21 September 2018 for case-controlled studies that compared RAMIE with MIE.

RESULT

Eight case-controlled studies involving 1862 patients (931 under RAMIE and 931 under MIE) were considered. No statistically significant difference between the two techniques was observed regarding R0 resection rate (OR = 1.1174, P = 0.8647), conversion to open (OR = 0.7095, P = 0.7519), 30-day mortality rate (OR = 0.8341, P = 0.7696), 90-day mortality rate (OR = 0.3224, P = 0.3329), in-hospital mortality rate (OR = 0.3733, P = 0.3895), postoperative complications, number of harvested lymph nodes (mean difference [MD] = 0.8216, P = 0.2039), operation time (MD = 24.3655 min, P = 0.2402), and length of stay in hospitals (LOS) (MD = -5.0228 day, P = 0.1342). The meta-analysis showed that RAMIE was associated with a significantly fewer estimated blood loss (EBL) (MD = -33.2268 mL, P = 0.0075). And the vocal cord palsy rate was higher in the MIE group compared with RAMIE, and the difference was significant (OR = 0.5696, P = 0.0447).

CONCLUSION

This meta-analysis indicated that RAMIE and MIE display similar feasibility and safety when used in esophagectomy. However, randomized controlled studies with larger sample sizes are needed to evaluate the benefit and harm in patients with esophageal cancer undergoing RAMIE.