scholarly journals Rapid point-of-care HIV testing in pregnant women: a systematic review and meta-analysis

2007 ◽  
Vol 12 (2) ◽  
pp. 162-173 ◽  
Author(s):  
Nitika Pant Pai ◽  
Jacqueline Peterson Tulsky ◽  
Deborah Cohan ◽  
John M. Colford ◽  
Arthur L. Reingold
2021 ◽  
Author(s):  
Jacques L. Tamuzi ◽  
Gomer Lulendo ◽  
Patrick Mbuesse ◽  
Thierry Ntambwe

Objective The aim of this systematic review is to provide some evidence on the use of mobile phone communication for improving ARV adherence during pregnancy, as well as to investigate whether text messaging on mobile phones could improve follow up in HIV exposed infants. Methods We did a systematic review and meta-analysis, using CENTRAL (Cochrane Central Register of Controlled Trials), Scopus, MEDLINE via PubMed, Web of Science, and CINAHL to search for studies in English published between 5 may 2016 to May 2021 that assessed the effects of mobile phone in HIV infected pregnant women. We used MetaPro version 3.0 to compute the OR 2 and RR and their 95%CI. We performed random-effects model meta analysis for estimating pooled outcomes. Results Nine studies were included in the meta-analysis. The pooled maternal postpartum retention was (OR 2.20, 95%CI: 1.55 to 3.13, I2 = 53.20%, P < 0.001). In the same line, the pooled odds of ART uptake was (OR 1.5, 95%CI: 1.07 to 2.11, I2 =0%, P = 0.020) and we found statistically significant impact of mobile phone on HIV testing at 6 weeks and above among HIV exposed children (OR 1.89, 95%CI: 1.04 to 3. 48, I2 = OR 1.89, 95%CI: 1.04 to 3. 48, I2 =88.04%, P = 0.032). Conclusion In comparison to our previous review, this updated review focuses on moderate evidence for mobile phone communication in HIV-infected pregnant women. The results showed that using a mobile phone improved maternal post-partum retention, ART uptake, and infant HIV testing at 6 weeks and older.


2020 ◽  
Author(s):  
Pengming Sun ◽  
Hangjing Gao ◽  
Xiqi Huang ◽  
Huanrui Zheng ◽  
Hongning Cai ◽  
...  

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Yi-jie Gao ◽  
Lei Ye ◽  
Jia-shuo Zhang ◽  
Yang-xue Yin ◽  
Min Liu ◽  
...  

2021 ◽  
Vol 40 (1) ◽  
Author(s):  
Angeline Jeyakumar ◽  
Vidhya Shinde ◽  
Reshma Ravindran

Abstract Background Vitamin D deficiency among pregnant women is a public health concern globally. In India, individual studies report high prevalence. However, lack of national data masks the true burden. This work determined the pooled prevalence of vitamin D deficiency among pregnant women in India through a systematic review of literature and meta-analysis. Methods Three different search engines yielded 15 eligible articles. Study quality was assessed by 10 different criteria and summary of study quality was categorized as per Cochrane standards. Meta-analysis was performed to estimate pooled prevalence of vitamin D deficiency among healthy pregnant women and heterogeneity among selected studies. A sample of n = 4088 was used to study the pooled prevalence among pregnant women. Results The random effects combined estimate was 32.35% (95% CI, (12.58–117.48). High heterogeneity (tau2 = 0.39, I2 = 100%) and high risk of bias was observed among the selected studies. The test for overall effect was observed to be z = 2.54(P = 0.01). Conclusion Pooled estimate > 30% emphasizes the need for screening through antenatal care services and initiate preventive measures to address the deficiency.


2021 ◽  
Vol 10 (4) ◽  
pp. 666
Author(s):  
Fahimeh Ramezani Tehrani ◽  
Marzieh Saei Ghare Naz ◽  
Razieh Bidhendi Yarandi ◽  
Samira Behboudi-Gandevani

This systematic review and meta-analysis aimed to examine the impact of different gestational-diabetes (GDM) diagnostic-criteria on the risk of adverse-maternal-outcomes. The search process encompassed PubMed (Medline), Scopus, and Web of Science databases to retrieve original, population-based studies with the universal GDM screening approach, published in English language and with a focus on adverse-maternal-outcomes up to January 2020. According to GDM diagnostic criteria, the studies were classified into seven groups. A total of 49 population-based studies consisting of 1409018 pregnant women with GDM and 7,667,546 non-GDM counterparts were selected for data analysis and knowledge synthesis. Accordingly, the risk of adverse-maternal-outcomes including primary-cesarean, induction of labor, maternal-hemorrhage, and pregnancy-related-hypertension, overall, regardless of GDM diagnostic-criteria and in all diagnostic-criteria subgroups were significantly higher than non-GDM counterparts. However, in meta-regression, the increased risk was not influenced by the GDM diagnostic-classification and the magnitude of the risks among patients, using the IADPSG criteria-classification as the most strict-criteria, was similar to other criteria. In conclusion, a reduction in the diagnostic-threshold increased the prevalence of GDM, but the risk of adverse-maternal-outcome was not different among those women who were diagnosed through more or less intensive strategies. Our review findings can empower health-care-providers to select the most cost-effective approach for the screening of GDM among pregnant women.


2021 ◽  
pp. 100952
Author(s):  
Nefsu Awoke ◽  
Tiwabwork Tekalign ◽  
Mistre Teshome ◽  
Tsegaye Lolaso ◽  
Getahun Dendir ◽  
...  

Diagnostics ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 363
Author(s):  
Vânia M. Moreira ◽  
Paulo Mascarenhas ◽  
Vanessa Machado ◽  
João Botelho ◽  
José João Mendes ◽  
...  

The rapid and accurate testing of SARS-CoV-2 infection is still crucial to mitigate, and eventually halt, the spread of this disease. Currently, nasopharyngeal swab (NPS) and oropharyngeal swab (OPS) are the recommended standard sampling techniques, yet, these have some limitations such as the complexity of collection. Hence, several other types of specimens that are easier to obtain are being tested as alternatives to nasal/throat swabs in nucleic acid assays for SARS-CoV-2 detection. This study aims to critically appraise and compare the clinical performance of RT-PCR tests using oral saliva, deep-throat saliva/posterior oropharyngeal saliva (DTS/POS), sputum, urine, feces, and tears/conjunctival swab (CS) against standard specimens (NPS, OPS, or a combination of both). In this systematic review and meta-analysis, five databases (PubMed, Scopus, Web of Science, ClinicalTrial.gov and NIPH Clinical Trial) were searched up to the 30th of December, 2020. Case-control and cohort studies on the detection of SARS-CoV-2 were included. The methodological quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS 2). We identified 1560 entries, 33 of which (1.1%) met all required criteria and were included for the quantitative data analysis. Saliva presented the higher accuracy, 92.1% (95% CI: 70.0–98.3), with an estimated sensitivity of 83.9% (95% CI: 77.4–88.8) and specificity of 96.4% (95% CI: 89.5–98.8). DTS/POS samples had an overall accuracy of 79.7% (95% CI: 43.3–95.3), with an estimated sensitivity of 90.1% (95% CI: 83.3–96.9) and specificity of 63.1% (95% CI: 36.8–89.3). The remaining index specimens could not be adequately assessed given the lack of studies available. Our meta-analysis shows that saliva samples from the oral region provide a high sensitivity and specificity; therefore, these appear to be the best candidates for alternative specimens to NPS/OPS in SARS-CoV-2 detection, with suitable protocols for swab-free sample collection to be determined and validated in the future. The distinction between oral and extra-oral salivary samples will be crucial, since DTS/POS samples may induce a higher rate of false positives. Urine, feces, tears/CS and sputum seem unreliable for diagnosis. Saliva testing may increase testing capacity, ultimately promoting the implementation of truly deployable COVID-19 tests, which could either work at the point-of-care (e.g. hospitals, clinics) or at outbreak control spots (e.g., schools, airports, and nursing homes).


Sign in / Sign up

Export Citation Format

Share Document