Brieflands

History

The company was first founded by Seyyed M. Miri and Seyed-M Alavian as an editorial group in a Medical Institute in 2007 to publish its medical journal. After three years of experience, the number of journals increased to 5 journals, and the company launched its first form of business as a VOF (collaboration) professional STM company in Heerlen, the Netherlands, which was called "Kowsarmedical Publishing." Respecting the publishing services (from submission to publishing), especially an in-house "Journal Management System," our journals increased to more than 60 STM journals between 2010 and 2019. Since 2022, "Brieflands" is the new brand name that acts as a "Science, Technical, Medical Publisher" that publishes more than 50 journals with the services provided by 97 expert employees in three different branches.

Business Profile

Brieflands is a Registered Trademark with record number 1454012.
Brieflands has been registered as a General partnership (Vennootschap onder firma) company in the Chamber of Commerce (Kamer van Koophandel) of the Netherlands since 2010.
- KvK number: 89235444.
- BTW (VAT) number: NL864918896B01 (check online at VIES )
- RSIN: 864918896
Nedmedica is our related company which is specialized in Author Services.
Our former branding name was Kowsarmedical Publishing (2010-2021).

Communities in Brieflands

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Recent Submissions

Assessment of HCV-RNA Testing Results and Genotype Distribution Among Anti-HCV-Positive Patients in Aksu Prefecture, Xinjiang, China: A Retrospective Hospital-Based Study
(Brieflands, 2026-12-31)
Hangchuan Mei
;
Gang Niu
;
Junsheng Ma
;
Hui Song
Background: Hepatitis C virus (HCV) is a major cause of chronic liver disease worldwide. However, local data on HCV RNA positivity and genotype distribution among anti-HCV-positive patients in Aksu Prefecture remain limited. Objectives: To describe HCV-RNA positivity and genotype distribution among anti-HCV-positive patients tested at a regional hospital in Aksu Prefecture and to evaluate demographic and geographic associations with HCV-RNA positivity. Methods: This retrospective hospital-based study included 4,735 independent anti-HCV-positive patients with valid HCV-RNA results at the Third People’s Hospital of Aksu Prefecture in 2024. Proportions were reported with Wilson 95% confidence intervals (CIs). A multivariable logistic regression model including sex, age group, and region was fitted to the individual-level analytical subset from eight regions (n = 3,842). Results: HCV RNA was detected in 1,361 of 4,735 anti-HCV-positive patients (28.74%; 95% CI, 27.47% - 30.05%). In the eight-region individual-level subset, 1,283 of 3,842 patients were HCV RNA-positive (33.39%; 95% CI, 31.92% - 34.90%). Male sex was associated with higher adjusted odds of HCV RNA positivity than female sex (adjusted odds ratio [aOR], 2.22; 95% CI, 1.91 - 2.57). Patients aged 31 - 40 years also had higher adjusted odds of HCV RNA positivity than those aged ≥ 61 years (aOR, 1.75; 95% CI, 1.41 - 2.16). Genotype 1b was the most frequent (41.59%), followed by 3a (26.60%), 2a (19.54%), and 3b (11.32%). Conclusions: HCV-RNA positivity and genotype distribution varied across demographic and geographic strata within this hospital-tested, anti-HCV-positive cohort. These estimates do not represent population-level prevalence in Aksu Prefecture.
Outcome Prediction in Burn Care: A Comparative Study of Machine Learning Algorithms on Structured Clinical Data
(Brieflands, 2026-07-31)
Abdolkhalegh Keshavarzi
;
Ali Sam
;
Nahid Abolpour
;
Zahra Taghados
;
Iliya Keshavarzi
Background: Early prediction of burn outcomes using structured clinical information available during prehospital care, triage, and early admission may support triage, counseling, and resource planning. Objectives: To compare five prespecified classifiers for the early prediction of final outcome, number of surgeries, intensive care unit (ICU) length of stay, and hospital length of stay using routinely collected prehospital and admission registry data. Methods: This retrospective single-center study used burn-registry records from Shiraz Burn Hospital for the period from 20 March 2020 to 20 March 2026. After records with final outcomes of transfer, discharge at the patient's own request, or unknown/not recorded were excluded, the analytic registry contained 4,127 records with 4,127 unique patient identifiers. Final outcome was modeled as recovery versus death. For the targets of number of surgeries and length of stay, deaths were excluded because death is a competing terminal event. Candidate predictors comprised demographic characteristics; referral and triage information; level of consciousness; vital signs and acute clinical findings; burn mechanism, intent, depth, total body surface area (TBSA), and anatomical regions; comorbidities; and prehospital treatment indicators. Target labels were not imputed. Logistic regression, decision tree, random forest, support vector machine (SVM), and k-nearest neighbors were compared using repeated stratified five-fold cross-validation, with macro-F1 as the primary model-selection metric, followed by evaluation on an independent 20% held-out test set. Results: The final outcome was recovery in 3,175 patients (76.9%) and death in 952 (23.1%). Among the 3,175 recovered patients included in the resource-use analyses, surgery categories were 0 surgeries in 48.1%, 1 in 14.0%, 2 in 10.3%, and > 2 in 27.6%; ICU-stay categories were no ICU/0 days in 74.9%, 1 - 7 days in 12.6%, and > 7 days in 12.5%; and hospital-stay categories were ≤ 7 days in 26.4%, 8 - 14 days in 33.2%, and > 14 days in 40.4%. In the development-set comparison, SVM achieved the highest macro-F1 for final outcome (0.895), whereas random forest performed best in predicting the number of surgeries, ICU length of stay, and hospital length of stay, with macro-F1 values of 0.466, 0.618, and 0.575, respectively. On the held-out test set, the selected SVM achieved a macro-F1 of 0.905 and a balanced accuracy of 0.932 for final outcome. For death prediction, sensitivity was 93.7% and positive predictive value was 79.2%. Random forest achieved held-out macro-F1 values of 0.459, 0.699, and 0.575 for number of surgeries, ICU length of stay, and hospital length of stay, respectively. Conclusions: Among the five evaluated classifiers, SVM provided the strongest performance for early prediction of final clinical outcome, whereas random forest performed best for the three resource-use outcomes. Early structured burn-registry variables enabled strong discrimination between recovery and death, including high sensitivity for mortality, whereas prediction of operative burden and hospital length of stay remained more challenging. These findings support further external and prospective validation before clinical implementation.
Efficacy and Safety of Nafamostat Mesilate Versus Heparin for Anticoagulation During Artificial Liver Support Therapy in Patients with Acute-on-Chronic Liver Failure: A Prospective Real-World Cohort Study
(Brieflands, 2026-12-31)
Qiufeng He
;
Zhili Chen
;
Yang Deng
;
Chuangjie Mao
;
Qiufeng He [0000-0002-1286-694X]
Background: Evidence regarding the use of nafamostat mesilate (NM) for anticoagulation during artificial liver support system (ALSS) therapy in patients with acute-on-chronic liver failure (ACLF) remains limited. The bleeding risk associated with heparin (HP) underscores the need for safer anticoagulation strategies. Objectives: This study aimed to evaluate the anticoagulation efficacy and short-term safety of NM versus HP in patients with ACLF undergoing treatment with a double plasma molecular adsorption system (DPMAS) combined with plasma exchange (PE). Methods: This prospective real-world cohort study included 122 consecutive patients with ACLF who underwent DPMAS combined with PE between November 2024 and December 2025. Patients received NM (n = 60) or HP (n = 62) according to routine clinical practice. Only the first treatment session per patient was analyzed. The primary endpoint was anticoagulation efficacy, and secondary safety outcomes included bleeding events and overall adverse events (AEs). Results: Effective anticoagulation rates were comparable between the NM and HP groups (91.7% vs 90.3%, P = 0.796). After treatment, the NM group had a shorter activated partial thromboplastin time (40.3 vs 48.4 s, P = 0.013), higher prothrombin activity (36.5% vs 32.1%, P = 0.034), and a higher platelet count (106.5 vs 82.5 × 109/L, P = 0.008). The incidences of bleeding events (3.3% vs 19.4%; relative risk [RR] = 0.172, 95% confidence interval [CI], 0.040 - 0.737; P = 0.006) and overall AEs (36.7% vs 58.1%; RR = 0.631, 95% CI, 0.426 - 0.937; P = 0.018) were significantly lower in the NM group. Multivariable logistic regression showed that NM remained associated with lower odds of bleeding (adjusted odds ratio [OR] = 0.150, 95% CI, 0.030 - 0.746; P = 0.020) and overall AEs (adjusted OR = 0.397, 95% CI, 0.185 - 0.855; P = 0.018). No serious AEs or treatment discontinuations occurred in either group. Conclusions: Treatment with NM achieved anticoagulation efficacy comparable to that of HP and was associated with lower incidences of bleeding events and overall AEs in patients with ACLF undergoing DPMAS combined with PE. These associations remained significant after adjustment for selected baseline characteristics. Nafamostat mesilate may represent an alternative to HP for anticoagulation during ALSS therapy. However, these findings should be interpreted with caution, given the nonrandomized design and the potential for residual confounding. Prospective, multicenter randomized controlled trials are warranted to confirm these findings.
The Impact of Hyperbaric Oxygen Therapy on Pain Management in Cervical Squamous Cell Carcinoma
(Brieflands, 2026-06-30)
Shahram Ghayomi
;
Reza Eslami
;
Mohamad Karim Heravi Bujabadi
;
Mahboubeh Alidoost
;
Pedram Neshati
Introduction: Radiation therapy is an established treatment for gynecological cancers but may cause delayed radiation injuries, including pelvic soft-tissue necrosis and severe pain. Pelvic radiation-related genitourinary complications occur in 17%–40% of women with cervical cancer. Hyperbaric oxygen therapy (HBOT) is used to treat delayed radiation injuries by improving tissue oxygenation and blood supply; however, its potential role in reducing severe pelvic radiation-associated pain is less well characterized. Case Presentation: A 51-year-old woman with cervical squamous cell carcinoma developed extensive pelvic radiation-associated necrosis, fistulization, and debilitating pelvic pain 25 months after radiotherapy. Her pain was rated 9/10 on the Numerical Rating Scale (NRS), was associated with substantial functional impairment and 2 previous suicide attempts, and required treatment with oral oxycodone. She underwent 30 HBOT sessions, administered once daily at 2.5 - 2.8 atmospheres absolute for 60 - 75 minutes per session. By the 15th session, her pain had decreased to an NRS score of 5/10, allowing her to resume daily activities and discontinue oral oxycodone. By the 30th session, her pain had further decreased to an NRS score of 3 - 4/10. Gynecological examination showed resolution of the previously observed necrotic tissue, except for a small mucosal area that had not yet been replaced by normal tissue. Conclusions: This case highlights the potential value of HBOT in promoting healing of radiation-associated pelvic tissue injury and reducing severe pain and its associated functional and psychosocial burden. Further studies are needed to determine whether this analgesic benefit is reproducible in patients with radiation-associated pelvic pain.
Adaptation and Feasibility of the POMAS and POMplexity Protocols for the Analysis of Spelling Errors in Persian-Speaking Students: A Preliminary Study
(Brieflands, 2026-07-31)
Masoomeh Salmani
;
Masume Zareei
;
Mohadese Rezazadeh
;
Mozhgan Asadi
;
Masoomeh Salmani [0000-0002-8099-3297]
Background: Students with learning disabilities constitute a large proportion of children receiving speech-language pathology services. Access to a standardized protocol for analyzing spelling errors is essential for the assessment of these children, enabling speech-language pathologists to design interventions based on accurate and systematic analyses.