Tag: pubmed

Ophthalmic Plast Reconstr Surg. 2025 Dec 19. doi: 10.1097/IOP.0000000000003146. Online ahead of print.

ABSTRACT

PURPOSE: To quantitatively compare the degrees of surgical freedom achieved by a lateral orbitotomy without bone removal versus a lacrimal keyhole-assisted approach, in which the superolateral orbital rim is shaved without full removal.

METHODS: Preoperative orbital computed tomography scans from consecutive lateral orbitotomy patients (January 2023-April 2025) were retrospectively analyzed. Using Brainlab software, we compared the theoretical volume of surgical freedom and horizontal and vertical attack angles between a simulated orbitotomy without bone removal and the keyhole-assisted technique with incremental rim shaving (25% to 100%). Statistical analysis included paired t tests and linear regression.

RESULTS: Twelve patients (mean age: 52.2 years; 58% female) were evaluated. The complete keyhole-assisted approach significantly increased the volume of surgical freedom by 21% (6.2 ± 2.2 mm³ vs. 5.1 ± 2.0 mm³; p = 0.005) and the horizontal and vertical attack angles by 62% (20.4 ± 7.2° vs. 12.6 ± 4.2°; p < 0.001) and 38% (36.4 ± 9.5° vs. 26.4 ± 8.4°; p < 0.001), respectively. Partial rim shaving also yielded significant, progressive gains (p < 0.05). Linear regression showed that each 1 mm of bone shaved improved the horizontal angle by 16%, the vertical angle by 10%, and the volume of surgical freedom by 6%. The size of the rim prominence strongly correlated with surgical freedom (r = 0.74, p = 0.02). No postoperative cosmetic or functional deficits were observed.

CONCLUSIONS: The lacrimal keyhole-assisted orbitotomy significantly enhances surgical freedom for orbital lesions. This minimally invasive technique offers a titratable alternative to marginotomy, allowing tailored bone removal for required maneuverability while preserving orbital rim integrity.

PMID:41418283 | DOI:10.1097/IOP.0000000000003146

JMIR Mhealth Uhealth. 2025 Dec 19;13:e68438. doi: 10.2196/68438.

ABSTRACT

BACKGROUND: Mobile apps are powerful tools for promoting and sustaining healthy behaviors, including supporting diverse recovery pathways from substance use, including alcohol use disorder. Indeed, prior research strongly supports the notion that social connection through mobile platforms, supplemented by an in-person interaction, is vital in helping individuals strengthen their recovery and improve overall well-being and mental health. However, research into the digital footprints of mobile app users, as a strategy to assess app usage experiences in a recovery context, is lacking.

OBJECTIVE: This study utilizes a dataset from The Phoenix app, a social media platform specifically designed for individuals impacted by substance use, including those in or seeking recovery, to identify core uses of the app, including how it is leveraged by members from a thematic and emotional valence context.

METHODS: We applied natural language processing and deep learning methods to analyze a random sample of 19,685 posts. Analyses included the Bidirectional Encoder Representation from Transformers topic modeling tool to generate themes and a Valence Aware Dictionary and Sentiment Reasoner sentiment analysis to approximate emotional tone and mood from posts ranging from highly negative (-0.99) to highly positive (0.99).

RESULTS: After removing duplicate and nonsensical posts, we retained a final sample size of 17,617 posts. Bidirectional Encoder Representation from Transformers topic modeling tool identified 10 topics (coherence score=0.48) within 2 overarching themes: (1) those related to engaging app members through in-person and online interactions (7 topics) and (2) as a forum to discuss more serious topics pertaining to substance use and mental health recovery (3 topics). Overall, the topics revealed a distinct and recurring theme of community support. Valence Aware Dictionary and Sentiment Reasoner sentiment analysis was 0.44 (SD 0.42), indicating highly positive posts, with only 429 (2.4%) being highly negative.

CONCLUSIONS: The study findings broadly show positive uses of The Phoenix app as a tool for social connections and community among people in recovery from substance use. With the high positive sentiment of posts, the app was distinct from other social media platforms (eg, X, Reddit, Facebook), which often feature a mix of highly positive and highly negative posts. Additional research is needed to confirm these results using a larger dataset and with comparative analysis of other recovery forums to contribute to the understanding of social media’s role and function in changing health-related behaviors.

PMID:41418282 | DOI:10.2196/68438

J Pak Med Assoc. 2025 Dec;75(12):1998-20003. doi: 10.47391/JPMA.25-20593.

ABSTRACT

OBJECTIVE: To determine the association between attention span and the academic year among medical students, and to identify the factors affecting the attention span.

METHODS: The cross-sectional study at the Foundation University Medical College, Islamabad, Pakistan, from July to August 2022, and comprised medical students from 1st to 5th academic year. Data was collected using the online Attention Control Scale questionnaire. Data was analysed using SPSS 26.

RESULTS: Of the 285 subjects with mean age 21.1+1.68 years, 195(68.4%) were females and 90(31.6%) were males. The mean score among the males was 50.31±6.37 compared to 48.12±7.12 for the females. Third-year students had the lowest mean score 46.67±7.02, while fourth-year students scored the highest 49.98±6.67. Significantly influenced internal factors were emotions about 154(54.7%), while longer courses 196(68.8%) and nearby noises 118 (41.4%) were additional factors. Finally, 204(71.6%) students struggled while listening to a one-hour class, and 148 (52.28%) preferred problem-based learning and small group discussions as teaching methods.

CONCLUSION: Traditional lectures and long group discussions affected students’ attention span negatively, with external factors, like course length and loud surroundings, and internal factors, like emotions and learner type, having an influence.

PMID:41418262 | DOI:10.47391/JPMA.25-20593

J Pak Med Assoc. 2025 Dec;75(12):1914-1917. doi: 10.47391/JPMA.25-21836.

ABSTRACT

OBJECTIVE: To compare the outcomes of Fenestrating and Reconstituting subtypes of laparoscopic subtotal cholecystectomy in technically difficult cases.

METHODS: The retrospective study was conducted at the Department of Surgery, Khyber Teaching Hospital, Peshawar, Pakistan, from August 1, 2023, to July 31, 2024, and comprised data of patients who underwent Fenestrating or Reconstituting laparoscopic subtotal cholecystectomy between January 1, 2014, and December 31, 2023, for gallstone disease. Postoperative length of hospital stay, frequency of bile leak, bile collections, requirement of endoscopic retrograde cholangiopancreatography and reoperations were the parameters noted and compared. Data was analysed using IBM® SPSS® Statistics 26.0.

RESULTS: Of 1,579 patients, 78(4.9%) had undergone laparoscopic subtotal cholecystectomy. Of them, 6(7.7%) cases were i excluded due to incomplete records, and the final sample comprised 72(92.3%) patients; 44(61.2%) females and 28(38.8%) males with mean age 56.91±16.28 years. Overall, 43(59.7%) patients were in the Fenestrating group and 29(40.3%) in the Reconstituting group. Mean postoperative hospital stay was significantly different between the groups (p<0.05), while the frequency of bile leak, bile collection, requirement of endoscopic retrograde cholangiopancreatography and the rate of reoperations were not significantly different between the groups (p>0.05).

CONCLUSIONS: Compared to the Fenestrating type, the Reconstituting type of laparoscopic subtotal cholecystectomy resulted in reduced postoperative hospital stay.

PMID:41418240 | DOI:10.47391/JPMA.25-21836

J Pak Med Assoc. 2025 Dec;75(12):1898-1902. doi: 10.47391/JPMA.25-21963.

ABSTRACT

OBJECTIVES: To assess the risk factors regarding early cessation of breastfeeding.

METHODS: The cross-sectional study was conducted at the Paediatrics Department of Ayub Medical Teaching Institute, Abbottabad, Pakistan, from June 2022 to February 2023, and comprised mother-child dyads who initiated the breastfeeding process at birth, but failed to continue over the subsequent 24 months. Data was collected using a structured proforma through interviews with mothers. Data was analysed using SPSS 26.

RESULTS: There were 250 mothers with mean age 28.48±5.73 years, while the mean age of 250 children was 14.64±7.53 months. The mean duration of breastfeeding was 5.05±3.99 months. The major risk factors identified were a combination of breastfeed and bottle-feed in the first month of life in 198(79.2%) cases, maternal diet restriction postpartum 186(74.4%) and no counselling about breastfeeding 168(67.2%). Pacifier use (p= 0.002), combined bottle-feed and breastfeed in the first month of life (p=0.001) and mothers wrongly considering formula milk healthier than breastfeed (p=0.000) were significant predictors of shorter duration of breastfeeding.

CONCLUSIONS: All the reasons identified as potential risk factors for early discontinuation of breastfeeding were modifiable. Health education-based interventions are needed for optimising breastfeeding practices.

PMID:41418237 | DOI:10.47391/JPMA.25-21963

J Pak Med Assoc. 2025 Dec;75(12):1883-1890. doi: 10.47391/JPMA.25-23187.

ABSTRACT

OBJECTIVES: To determine the correlation of the Glasgow Coma Scale score and different Neuroimaging Radiological Interpretation System categories in patients with traumatic brain injury.

METHODS: The prospective observational study was conducted at the Shaheed Mohtarma Benazir Bhutto Institute of Trauma, Karachi, from July to December 2023, and comprised patients aged at least 18 years with documented traumatic brain injury. The patient underwent assessment in the emergency department. The mechanism of injury, and Glasgow Coma Scale score at the time of hospital arrival were noted. A non-contrast head computed tomography scan was done to acquire images of sufficient quality for Neuroimaging Radiological Interpretation System classification. Data was analysed using SPSS 23.

RESULTS: Of the 388 patients with mean age 33.44±18.51 years, 319(82.2%) were males and 69(17.8%) were females. Road traffic accidents accounted for 283(72.9%) cases. Glasgow Coma Scale-based severity classification revealed mild traumatic brain injury in 185(47.7%), moderate in 100(25.8%) and severe in 103(26.5%) patients. Neuroimaging Radiological Interpretation System category distribution showed category 2 being the most frequent 165(42.5%), while category 0 was least common 5(1.3%). There was a strong negative correlation between Glasgow Coma Scale scores and Neuroimaging Radiological Interpretation System categories (p=0.001), with the coefficient of determination indicating that 27.4% of Glasgow Coma Scale score variance was explained by Neuroimaging Radiological Interpretation System classification.

CONCLUSIONS: There was a negative correlation between Neuroimaging Radiological Interpretation System category and Glasgow Coma Scale score in patients with traumatic brain injury.

PMID:41418235 | DOI:10.47391/JPMA.25-23187

J Pak Med Assoc. 2025 Dec;75(12):1866-1867. doi: 10.47391/JPMA.25-101.

NO ABSTRACT

PMID:41418231 | DOI:10.47391/JPMA.25-101

Phys Rev Lett. 2025 Dec 5;135(23):231902. doi: 10.1103/fc8j-tb8k.

ABSTRACT

The observation of a wide peaking structure in the B_{c}^{+}γ mass spectrum is reported using proton-proton collision data collected by the LHCb detector at center-of-mass energies of 7, 8, and 13 TeV, corresponding to a total integrated luminosity of 9 fb^{-1}. The statistical significance over the background-only hypothesis exceeds seven standard deviations. The width of the observed structure is larger than the expectation from a single-peak hypothesis, and is well described by an effective minimal model consisting of two narrow peaks located at 6704.8±5.5±2.8±0.3 MeV/c^{2} and 6752.4±9.5±3.1±0.3 MeV/c^{2}. The uncertainty terms are statistical, systematic, and associated to the knowledge of the B_{c}^{+} mass, respectively. The measured peak locations are in line with theoretical predictions for lowest excited P-wave B_{c}^{+} states, marking the first observation of orbitally excited beauty-charm mesons and providing important insights into the internal dynamics of hadrons containing two heavy quarks.

PMID:41418227 | DOI:10.1103/fc8j-tb8k

Phys Rev Lett. 2025 Dec 5;135(23):230204. doi: 10.1103/lbf3-snp8.

ABSTRACT

The theory of quantum states over time extends the density operator formalism into the temporal domain, providing a unified treatment of timelike and spacelike separated systems in quantum theory. Although recent results have characterized quantum states over time involving two timelike separated systems, it remains unclear how to consistently extend the notion of quantum states over time to multipartite temporal scenarios, such as those considered in studies of Leggett-Garg inequalities. In this Letter, we show that two simple assumptions uniquely single out the Markovian multipartite extension of bipartite quantum states over time, namely, linearity in the initial state and a quantum analog of conditionability for multipartite probability distributions. As a direct consequence of our result, we establish a canonical correspondence between multipartite quantum states over time and Kirkwood-Dirac type quasiprobability distributions, which we show opens up the possibility of experimentally verifying the temporal correlations encoded in quantum states over time via the recent experimental technique of simulating quasiprobability known as quantum snapshotting.

PMID:41418224 | DOI:10.1103/lbf3-snp8

Phys Rev Lett. 2025 Dec 5;135(23):230601. doi: 10.1103/dpgy-rtxr.

ABSTRACT

Accurate and robust quantum process tomography (QPT) is crucial for verifying quantum gates and diagnosing implementation faults in experiments aimed at building universal quantum computers. However, the reliability of QPT protocols is often compromised by faulty probes, particularly state preparation and measurement (SPAM) errors, which introduce fundamental inconsistencies in traditional QPT algorithms. We propose and investigate enhanced QPT for multiqubit systems by integrating the error matrix in a digital twin of the identity process matrix, enabling statistical refinement of SPAM error learning and improving QPT precision. Through numerical simulations, we demonstrate that our approach enables highly accurate and faithful process characterization. We further validate our method experimentally in superconducting quantum processors, achieving at least an order-of-magnitude fidelity improvement over standard QPT. Our results provide a practical and precise method for assessing quantum gate fidelity and enhancing QPT on a given hardware.

PMID:41418174 | DOI:10.1103/dpgy-rtxr