The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
ALSFRS-R score and its ratio: A useful predictor for ALS-progression
Abstract
Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disorder. To determine predictors of survival, we studied different parameters in our ALS Database including 479 patients. The effects of individual prognostic factors of survival were studied using Kaplan-Meier life table. The prognostic value of each factor of interest was expressed in terms of a hazard ratio. Survival from symptom-onset ranged from 4 months up to 11.9 years. Gender had no effect on survival in our cohort. However, age, site of onset, forced vital capacity, symptom duration and ALSFRS-R score at the first visit were independent prognostic factors in our population (log-rank p<0.01). The ratio of ALSFRS-R score between first symptom and first examination, during whole disease or within 100 days, correlates with survival time. We conclude that the ratio of ALSFRS-R score within 100 days is a useful parameter for clinical trials and daily clinical work in a tertiary ALS-clinic.
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“The ALSFRS-R is a widely used and validated measure to evaluate functional status in ALS (20).”
From Chronic Traumatic Encephalopathy Within an Amyotrophic Lateral Sclerosis Brain Bank Cohort (2018) · cites this paper as [20]
Citations
Cites
Regression Models and Life-Tables
Cox, D. R. (1972) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1972.tb00899.x · Cited by 39,793
Regression Models and Life-Tables
Cox, D. R. (1992) · Springer Series in Statistics · doi:10.1007/978-1-4612-4380-9_37 · Cited by 26,297
El Escorial revisited: revised criteria for the diagnosis of amyotrophic lateral sclerosis
Brooks, B. R., Miller, R. G., Swash, M., & Munsat, T. L. (2000) · Amyotrophic Lateral Sclerosis and Other Motor Neuron Disorders · doi:10.1080/146608200300079536 · Cited by 5,433
Cedarbaum, J. M., Stambler, N., Malta, E., Fuller, C., Hilt, D., Thurmond, B., & Nakanishi, A. (1999) · Journal of the Neurological Sciences · doi:10.1016/s0022-510x(99)00210-5 · Cited by 3,307
A Controlled Trial of Riluzole in Amyotrophic Lateral Sclerosis
Bensimon, G., Lacomblez, L., & Meininger, V. (1994) · New England Journal of Medicine · doi:10.1056/nejm199403033300901 · Cited by 2,239
Brooks, B. R. (1994) · Journal of the Neurological Sciences · doi:10.1016/0022-510x(94)90191-0 · Cited by 2,171
Dose-ranging study of riluzole in amyotrophic lateral sclerosis
Amyotrophic Lateral Sclerosis/Riluzole Study Group II, Lacomblez, L., Bensimon, G., Meininger, V., Leigh, P. N., & Guillet, P. (1996) · The Lancet · doi:10.1016/s0140-6736(96)91680-3 · Cited by 1,303
Haverkamp, L. J., Appel, V., & Appel, S. H. (1995) · Brain · doi:10.1093/brain/118.3.707 · Cited by 697
Progression rate of ALSFRS-R at time of diagnosis predicts survival time in ALS
文治, 木., Fujimura, C., Ishida, S., Nakajima, H., Furutama, D., Uehara, H., Shinoda, K., Sugino, M., & Hanafusa, T. (2006) · Neurology · doi:10.1212/01.wnl.0000194316.91908.8a · Cited by 568
Prognosis in amyotrophic lateral sclerosis: A population-based study
del Aguila, M. A., Longstreth, W. T., McGuire, V., Koepsell, T. D., & van Belle, G. (2003) · Neurology · doi:10.1212/01.wnl.0000049472.47709.3b · Cited by 469
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Clinical characteristic and prognosis of amyotrophic lateral sclerosis in a cohort of Thai patients
Suanprasert, N., Tiawijit, N., Watcharachinnawong, W., Apiwattanakul, M., Termglinjan, T., Aungsumart, S., Sinthuwong, C., & Rojana-udomsart, A. (2023) · Neurology Asia · doi:10.54029/2023yjk · Cited by 2
Exploring the Role of Diabetes in ALS: A Population-Based Cohort Study
Martinelli, I., Gianferrari, G., Santarelli, R., Zucchi, E., Simonini, C., Fini, N., Ghezzi, A., Gessani, A., Ferri, L., Smolik, K., et al. (2025) · Life · doi:10.3390/life15060936 · Cited by 2
Mehdiyoun, N. F., Wright, J., Robinson, R. L., Brandt, A. U., Hoyt, M. L., Guo, J., Ball, N., Iqbal, H., RINGLAND, C., Milligan, G., et al. (2026) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2026.125732 · Cited by 2
Sanfilippo, M. J., Layshock, M. E., & Keniston, L. (2022) · Journal of Physical Therapy Science · doi:10.1589/jpts.34.532 · Cited by 2
Autonomic nervous system and mediating role of respiratory function in patients with ALS
de Bernardo, N., Ortí, J. E. D. L. R., Villarón-Casales, C., Privado, J., Maset-Roig, R., Cañabate, M., Sancho-Cantus, D., Sanz, I. O., Fernández, R. F., Proaño, B., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-94844-y · Cited by 2
Imaging Biomarkers in Amyotrophic Lateral Sclerosis
Alberich, L. C., Vazquez-Costa, J. F., Ten‐Esteve, A., Mazón, M., & Martí‐Bonmatí, L. (2021) · Neuromethods · doi:10.1007/978-1-0716-1712-0_20 · Cited by 2
Swinnen, B., Laere, K. V., & Damme, P. V. (2016) · InTech eBooks · doi:10.5772/63545 · Cited by 2
Predictors in late-stage amyotrophic lateral sclerosis
Baptista, M. F., Gromicho, M., Alves, I., Santos, M. O., & de Carvalho, M. A. (2025) · Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration · doi:10.1080/21678421.2025.2536647 · Cited by 1
Amyotrophe Lateralsklerose (ALS)
Schulte‐Mattler, W. (2015) · Das Neurophysiologie-Labor · doi:10.1016/j.neulab.2015.09.001 · Cited by 1
Nobematsu, A., & Takahashi, K. (2020) · Progress in Rehabilitation Medicine · doi:10.2490/prm.20200013 · Cited by 1
Exploring the Impact of Amyotrophic Lateral Sclerosis on Otolaryngological Functions
Candelo, E., Vasudevan, S. S., Orellana-Guerrero, D., Williams, A. M., & Rutt, A. L. (2024) · Journal of Voice · doi:10.1016/j.jvoice.2024.07.025 · Cited by 1
Paraoxonase I Activity and Its Relationship with Nutrition in Amyotrophic Lateral Sclerosis
Proaño, B., Benlloch, M., Sancho-Castillo, S., Privado, J., Bargues‐Navarro, G., Sanchis-Sanchis, C. E., Bolós, P. M., Carriquí-Suárez, A. B., Cubero-Plazas, L., Armero, J. L. P., et al. (2024) · Antioxidants · doi:10.3390/antiox13081021 · Cited by 2
Sancho-Cantus, D., Sanchis, E. S., Casani-Cubel, J., Privado, J., Escriba, J., Carriquí-Suárez, A. B., Benlloch, M., Cerón, J. M. C., Rubio, C. P., Cubero-Plazas, L., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-07729-5 · Cited by 1
Improving clinical trial efficiency with machine learning models of disease progression
Beaulieu, D., Taylor, A. A., Pierce, D., Cuerdo, J., Schactman, M., Keymer, M., & Ennist, D. L. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-816475-4.00005-7 · Cited by 1
Phrenic nerve compound muscle action potential amplitude: Biomarker of disease progression in ALS?
Vucic, S. (2009) · Clinical Neurophysiology · doi:10.1016/j.clinph.2009.09.009 · Cited by 1
ARTICULATORY COMPENSATION IN AMYOTROPHIC LATERAL SCLEROSIS: TONGUE AND JAW IN SPEECH
Shellikeri, S. (2014) · TSpace (University of Toronto) · Cited by 1
Impacts of skill training on swallowing and quality of life in patients with motor neurone disease
Thomas, P. (2020) · University of Canterbury Research Repository (University of Canterbury) · doi:10.26021/10538 · Cited by 1
Mehrabi, S., Sedighi, M., Ashtiani, B. H., Afrakhteh, M., Shahriari, E., Habibi, S. A., Pourhamzeh, M., Susanabadi, A., Soleimani, M., & Joghataei, M. T. (2021) · Research Square · doi:10.21203/rs.3.rs-265649/v1 · Cited by 1
Tracking ALS Disease Progression Using Passively Collected Smartphone Sensor DataPreprint
Karas, M., Olsen, J. M., Strączkiewicz, M., Johnson, S. A., Burke, K. M., Iwasaki, S., Lahav, A., Scheier, Z. A., Clark, A., Iyer, A. S., et al. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4526533 · Cited by 1
Maier, A. (2014) · Universitätsbibliothek der FU Berlin Hochschulschriftenstelle u. Dokumentenserver · doi:10.17169/refubium-11751
Amyotrophic lateral sclerosis : mortality and predictors of survival
GILBERT, G. J. (2012) · HAL
Nutritional Therapy in Amyotrophic Lateral Sclerosis
Kollewe, K., Körner, S., Dengler, R., & Petri, S. (2011) · CRC Press eBooks · doi:10.1201/b10936-38
Self-citationOutcomes of Enteral Feeding in Motor Neurone Disease
Chhetri, S. K. (2015) · CLOK (University of Central Lancashire)
Pancani, S. (2016) · White Rose eTheses Online (University of Leeds, The University of Sheffield, University of York)
Research on Feature Selection and Predicting ALS Disease Progression
Li, J., Wang, S., & Wang, J. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-63309-1_22
Bokov, A. F., Bos, A., Manuel, L., Tirado‐Ramos, A., Kittrell, P., Jackson, C. E., & Olin, G. P. (2017) · Proceedings - IEEE Symposium on Computer-Based Medical Systems · doi:10.1109/cbms.2017.122
Applications of stochastic modeling and data analytics techniques in healthcare decision making
Dalgic, O. O. (2017) · UWSpace (University of Waterloo)
Bokov Alex, F., Olin, G. P., Bos, A., Tirado‐Ramos, A., Kittrell, P., & Jackson, C. E. (2017) · PubMed Central
Machine Learning Methods To Identify Hidden Phenotypes In The Electronic Health Record
Beaulieu‐Jones, B. K. (2017) · ScholarlyCommons (University of Pennsylvania)
Novel Statistical Methodology Development and Applications in ALS Research
Karanevich, A. G. (2017) · KU ScholarWorks (University of Kansas)
한국의 근위축측삭경화증: 임상 특징 및 예후 예측 인자
백원기, 박아람, Kim, H., & Kim, S. H. (2011) · Journal of the Korean Neurological Association
Imputation Methods Approach to Clinical and Life Science Research Data Sets
Basavarajaiah, D. M., & Murthy, B. N. (2020) · Springer eBooks · doi:10.1007/978-981-15-8210-3_11
A Case Report on a Patient with Amyotrophic Lateral Sclerosis Treated with Korean Medicine
Heo, G.-Y., Kang, H.-K., Kim, M.-H., Nam, I., Kim, M., Kim, S., Park, S.-J., Yun, Y.-J., Lee, I., Choi, J.-Y., et al. (2022) · The Journal of Internal Korean Medicine · doi:10.22246/jikm.2022.43.5.891
Spörndly-Nees, S., Larsson, B., Zetterberg, L., Åkerblom, Y., Nyholm, D., & Åsenlöf, P. (2023) · Palliative & Supportive Care · doi:10.1017/s1478951523001347
Patients’ choices regarding ventilatory support affect opioid use in amyotrophic lateral sclerosis
Matsuda, C., Nakayama, Y., Haraguchi, M., Morishima, R., Itagaki, Y., Bokuda, K., Kimura, H., Takahashi, K., & Shimizu, T. (2025) · Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration · doi:10.1080/21678421.2025.2453463
Jiang, T., Ding, W., & Li, X. (2025) · Journal of Clinical Neuroscience · doi:10.1016/j.jocn.2025.111203
Prognostic Factors in Sporadic Bulbar Onset Motor Neuron DiseasePreprint
Ding, J., Hu, N., Qi, M., Tian, H., Cui, L., Niu, J., & Liu, M. (2025) · Research Square · doi:10.21203/rs.3.rs-7056346/v1
Additional file 1 of Novel data-driven subtypes and stages of brain atrophy in the ALS–FTD spectrum
Shen, T., Vogel, J. W., Duda, J., Phillips, J. S., Cook, P. A., Gee, J., Elman, L., Quinn, C. C., Amado, D. A., Baer, M., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26650728
Cai, R., Yang, J., Wu, L., Liu, Y., Wang, X., Zheng, Q., & Li, L. (2024) · Figshare · doi:10.6084/m9.figshare.26676284
Comprendre et modéliser la Sclérose Latérale Amyotrophique à début précoce
Muratet, F. (2022) · theses.fr (ABES) · doi:10.70675/9a7778aaz88c7z40b1z92d3zaf5699b86a09
Matsuda, C., Nakayama, Y., Haraguchi, M., Morishima, R., Itagaki, Y., Bokuda, K., Hayashi, K., Takahashi, K., & Shimizu, T. (2026) · Journal of Neurology · doi:10.1007/s00415-026-13776-3
Shimizu, T., Myojin, H., Bokuda, K., Kawazoe, T., Morishima, R., Kimura, H., Takahashi, K., & Nakayama, Y. (2026) · Muscle & Nerve · doi:10.1002/mus.70273
Enhancing Runoff Prediction through Feature Engineering and Cluster-Specific Modeling
Saadatfar, H., Eshghi, A., & ShuridehBakht, M. (2026) · Water Resources Management · doi:10.1007/s11269-026-04711-2
Factors Affecting Energy Metabolism and Prognosis in Patients with Amyotrophic Lateral Sclerosis.
栗原, 美., 馬場, 重., 安原, 祥., 伊藤, 明., 長尾, 大., 中西, 直., 中村, 竜., 小川, 暢., 北村, 彰., 山川, 勇., et al. (n.d.) · Institutional Repositories DataBase (IRDB)
Riva, N., Schito, P., Russo, T., Ferraro, O. E., Durante, G., Tettamanti, A., Riboldi, E., Domi, T., Pozzi, L., Quattrini, A., et al. (2026) · European Journal of Neurology · doi:10.1111/ene.70660
Matsuki, Y., Bokuda, K., Morishima, R., Kawazoe, T., Kimura, H., Takahashi, K., Nakayama, Y., & Shimizu, T. (2026) · Muscle & Nerve · doi:10.1002/mus.70371
Ding, J., Hu, N., Tian, H., Wang, Y., Shen, D., Yang, X., Niu, J., Liu, Q., Cui, L., & Liu, M. (2026) · Neurological Sciences · doi:10.1007/s10072-026-09410-9
Goebell, J., Bachhuber, F., Karmann, J., Klose, V., Kassubek, J., Müller, H.-P., Tumani, H., & Ludolph, A. (2026) · Journal of Neural Transmission · doi:10.1007/s00702-026-03277-y
Metadata
- Authors
- Kollewe, K., Mauss, U., Krampfl, K., Petri, S., Dengler, R., & Mohammadi, B.
- Affiliations
- Medizinische Hochschule Hannover (DE)
- Corresponding author
- Mohammadi, Bahram
- Venue
- Journal of the Neurological Sciences
- Publisher
- Elsevier BV
- Published
- 2008-12
- Volume
- 275
- Issue
- 1-2
- Pages
- 69-73
- ISSN
- 0022-510X (ISSN-L)
- OpenAlex
- W2026980091
- Cited by
- 253
- References
- 38
- Citations by year
- 2026: 8 · 2025: 11 · 2024: 18 · 2023: 15 · 2022: 21 · 2021: 13 · 2020: 15 · 2019: 18 · 2018: 26 · 2017: 15 · 2016: 19 · 2015: 23 · 2014: 15 · 2013: 7 · 2012: 11
- FWCI
- 3.84
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of the Neurological Sciences (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Clinical Neurology › Amyotrophic Lateral Sclerosis Research
- Health Sciences › Medicine › Genetics (clinical) › Neurogenetic and Muscular Disorders Research
- Health Sciences › Medicine › Internal Medicine › Amyloidosis: Diagnosis, Treatment, Outcomes
- Keywords
- amyotrophic lateral sclerosis, ALSFRS-R, disease progression, survival prediction, prognostic factors, symptom onset, age, forced vital capacity, symptom duration, hazard ratio
- MeSH terms
- Adult, Age Factors, Aged, Aged, 80 and over, Amyotrophic Lateral Sclerosis, Female, Humans, Male, Middle Aged, Predictive Value of Tests, Severity of Illness Index, Cohort Studies, Age of Onset, Disease Progression, Kaplan-Meier Estimate
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