Article in Neurology. Clinical practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registry
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
8 authors.
Jennifer MorganrothDepartment of Neurology (JM, LZ, GTL, SJB, AGH), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Division of Neuromuscular Medicine (ACG), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston; Department of Ophthalmology (GTL, AGH); Division of Thoracic Surgery (SS), Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Neurology (GIW), Jacobs School of Medicine and Biomedical Sciences, State University at Buffalo/SUNY, NY; and Department of Biostatistics, Epidemiology, and Informatics (AGH), Perelman School of Medicine, University of Pennsylvania, Philadelphia.ORCID https://orcid.org/0000-0001-9696-5306
Leah ZuroffDepartment of Neurology (JM, LZ, GTL, SJB, AGH), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Division of Neuromuscular Medicine (ACG), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston; Department of Ophthalmology (GTL, AGH); Division of Thoracic Surgery (SS), Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Neurology (GIW), Jacobs School of Medicine and Biomedical Sciences, State University at Buffalo/SUNY, NY; and Department of Biostatistics, Epidemiology, and Informatics (AGH), Perelman School of Medicine, University of Pennsylvania, Philadelphia.ORCID https://orcid.org/0000-0002-8527-6174
Amanda C GuidonDepartment of Neurology (JM, LZ, GTL, SJB, AGH), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Division of Neuromuscular Medicine (ACG), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston; Department of Ophthalmology (GTL, AGH); Division of Thoracic Surgery (SS), Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Neurology (GIW), Jacobs School of Medicine and Biomedical Sciences, State University at Buffalo/SUNY, NY; and Department of Biostatistics, Epidemiology, and Informatics (AGH), Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Grant T LiuDepartment of Neurology (JM, LZ, GTL, SJB, AGH), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Division of Neuromuscular Medicine (ACG), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston; Department of Ophthalmology (GTL, AGH); Division of Thoracic Surgery (SS), Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Neurology (GIW), Jacobs School of Medicine and Biomedical Sciences, State University at Buffalo/SUNY, NY; and Department of Biostatistics, Epidemiology, and Informatics (AGH), Perelman School of Medicine, University of Pennsylvania, Philadelphia.ORCID https://orcid.org/0000-0003-2173-281X
Shawn J BirdDepartment of Neurology (JM, LZ, GTL, SJB, AGH), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Division of Neuromuscular Medicine (ACG), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston; Department of Ophthalmology (GTL, AGH); Division of Thoracic Surgery (SS), Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Neurology (GIW), Jacobs School of Medicine and Biomedical Sciences, State University at Buffalo/SUNY, NY; and Department of Biostatistics, Epidemiology, and Informatics (AGH), Perelman School of Medicine, University of Pennsylvania, Philadelphia.ORCID https://orcid.org/0009-0007-0224-7903
Sunil SinghalDepartment of Neurology (JM, LZ, GTL, SJB, AGH), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Division of Neuromuscular Medicine (ACG), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston; Department of Ophthalmology (GTL, AGH); Division of Thoracic Surgery (SS), Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Neurology (GIW), Jacobs School of Medicine and Biomedical Sciences, State University at Buffalo/SUNY, NY; and Department of Biostatistics, Epidemiology, and Informatics (AGH), Perelman School of Medicine, University of Pennsylvania, Philadelphia.ORCID https://orcid.org/0000-0002-2413-7082
Gil I WolfeDepartment of Neurology (JM, LZ, GTL, SJB, AGH), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Division of Neuromuscular Medicine (ACG), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston; Department of Ophthalmology (GTL, AGH); Division of Thoracic Surgery (SS), Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Neurology (GIW), Jacobs School of Medicine and Biomedical Sciences, State University at Buffalo/SUNY, NY; and Department of Biostatistics, Epidemiology, and Informatics (AGH), Perelman School of Medicine, University of Pennsylvania, Philadelphia.ORCID https://orcid.org/0000-0003-1471-9617
Ali G HamedaniDepartment of Neurology (JM, LZ, GTL, SJB, AGH), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Division of Neuromuscular Medicine (ACG), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston; Department of Ophthalmology (GTL, AGH); Division of Thoracic Surgery (SS), Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Neurology (GIW), Jacobs School of Medicine and Biomedical Sciences, State University at Buffalo/SUNY, NY; and Department of Biostatistics, Epidemiology, and Informatics (AGH), Perelman School of Medicine, University of Pennsylvania, Philadelphia.ORCID https://orcid.org/0000-0001-5949-6395
Funding
No grant is acknowledged in the PubMed record.
6 · The paper itself
Abstract
Background and Objectives: In 2016, a randomized controlled trial demonstrated the clinical efficacy of trans-sternal thymectomy for patients with non-thymomatous myasthenia gravis (MG). Whether large-scale changes occurred in clinical practice after this trial is unknown. Methods: We performed a retrospective longitudinal cross-sectional analysis using National Inpatient Sample (NIS) data from 2012 to 2019. Our study included hospitalized adults at least 18 years of age diagnosed with MG without an associated thymoma. We used joinpoint regression to analyze annual trends in thymectomy volume and surgical approach (minimally invasive vs trans-sternal) from 2012 to 2019. Using logistic regression models, we examined patient and hospital-level factors that may have influenced whether thymectomy was performed, such as age, sex, race, insurance payor, hospital size and teaching status, and Elixhauser Comorbidity Index. Sampling weights were applied to account for the complex survey design of NIS. Results: The total number of thymectomy procedures increased by 69.8% per year (95% CI 40.1-105.8) between 2012 and 2019. Trans-sternal thymectomies increased by 62.8% per year (95% CI 35.8-95.2) and minimally invasive thymectomies by 83.7% per year (95% CI 38.1-144.3). Thymectomies were significantly more likely to occur in 2017-2019 compared with 2012-2016 (OR 1.93, 95% CI 1.62-2.31). In a multivariable regression model, several factors decreased the odds of patients with MG having a thymectomy: older age, Black race (OR 0.62, 95% CI 0.49-0.77), female (OR 0.73, 95% CI 0.63-0.86), and higher Elixhauser Comorbidity Index. Patients in medium (OR 1.82, 95% CI 1.30-2.55) or large (OR 2.81, 95% CI 2.07-3.82) size and urban teaching hospitals (OR 6.09, 95% CI 2.65-13.97) were more likely to undergo thymectomy. Discussion: Thymectomy is being performed more frequently for non-thymomatous MG, especially after 2016 after publication of a positive phase III clinical trial. There are several disparities in thymectomy utilization that warrant further attention.
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.
Trends and Disparities in the Utilization of Thymectomy for Myasthenia Gravis in the United States. · full record | OpenQuestion