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Low-Dose Valacyclovir for Postherpetic Neuralgia in the Zoster Eye Disease Study

2025· letter· en· W4408186781 on OpenAlexaffabout
David Warner, Bennie H. Jeng, Jiyu Kim, Mengling Liu, Andrea B. Troxel, Judith S. Hochman, Keith H. Baratz, Shahzad I. Mian, Mazen Y. Choulakian, Jay J. Meyer, Ying Lu, Alberta Twi-Yeboah, Ting‐Fang Lee, Carlos Lopez-Jimenez, Sarah Laury, Elisabeth J. Cohen, Sarah B. Weissbart, Azin Abazari, Timothy Chou, Eileen Chang, Guillermo Amescua, Rahul Tonk, Jaime D. Martinez, Anat Galor, Sanjay V. Patel, John S. Berestka, Afshan Nanji, Winston Chamberlain, Richard D. Stutzman, John Clements, James Chodosh, Emma Davies, Hajirah N. Saeed, Jessica Ciralsky, A. Gómez-Bastero Fernández, Kimberly C. Sippel, Victor L Perez-Quinones, Melissa B. Daluvoy, Katy C. Liu, M. Ewald, Erich B Groos, Bernard Chang, Ira A. Shivitz, Jordan Hill, Priscilla G. Fowler, Russell W. Read, Harry S. Geggel, Ahmed F. Omar, Christopher J. Rapuano, Beeran Meghpara, Zeba A. Syed, Gary N. Holland, Olivia W. Lee, John Irvine, Sophie X. Deng, Anthony J. Aldave, Tsui Edmund, Judy Chen, Marc A Honig, Andrew Huang, Todd P. Margolis, Anthony J. Lubniewski, Douglas Katz, Seema Capoor, John Gonzales, Gerami D. Seitzman, Jeremy D. Keenan, Melina I. Morkin, Kenneth R. Kenyon, Pedram Hamrah, William B. Lee, Joseph Christenbury, Kara C. LaMattina, Hyunjoo Lee, Kambiz Negahban, Christine S Ament, Marta O. Lopatynsky, John D Barbato, Jayati S Sarkar, Marian S. Macsai, Joshua B Herz, Mitchell P. Weikert, Zaina Al-Mohtaseb, Alice Y. Matoba, Theresa Cooney, Christopher Hood, Maria A. Woodward, Alan M. Sugar, Roni M. Shtein, Sarah Nehls, Evan J. Warner, Greg Nettune, Henry Gelender, Jamie K. Alexander, Tyrone McCall, Joshua Zaffos, Walter E. Beebe, Luke B. Potts, Jay M. Lustbader, Aruoriwo Oboh-Weilke, K.M. Hammersmith, Stephen E. Orlin, Parveen K. Nagra, Michael E. Sulewski, Vatinee Y. Bunya, Brian M. Shafer, Christina R. Prescott, Ilyse Haberman, Elizabeth T. Viriya, Anam Qureshi, Douglas R. Lazzaro, Laura Palazzolo, Himani Goyal, Katie E Schrack, Irving M. Raber, Brandon D. Ayres, Brenton Finklea, Sherman W. Reeves, David R. Hardten, Charles Reilly, William J. Flynn, Angie E Wen, David C. Ritterband, David Harris, Sumayya Ahmad, Neha Shaik, John A. Seedor, Steven I. Rosenfeld, Marc Winnick, Ahmad Amir, Mark D. Sherman, Divya Srikumaran, Esen K. Akpek, Benjamin Chaon, Sarkis H. Soukiasian, Naveen K. Rao, Anne Steiner, Jules Winokur, Ira J. Udell, Carolyn Shih, Matthew Gorski, Amilia Schrier, Ann-Marie Lobo-Chan, Joel Sugar, Elmer Y. Tu, Sarah B. Sunshine, Donald M. Miller, William G. Gensheimer, Michael E. Zegans, Jayne S. Weiss, M.L. Bernal, Bruce Barron, Holly B. Hindman, Ronald E. Wise, Christopher D. Gelston, Michael J. Taravella, Richard S. Davidson, Uyen Tran, Christine Shieh, Jeremy Bartley, James P. McCulley, Steven M. Verity, Wayne Bowman, Preston H. Blomquist, V. Vinod Mootha, George Thorne, A. Renucci, David D. Verdier, K. R. Sivaraman, Michael L. Nordlund, Frank S. Hwang, John Affeldt, Herbert J. Ingraham, Nathalie M Guibord, Kendall Dobbins, Tarika Thareja, Amy Lin, Brian Zaugg, Mark D. Mifflin, S. Lance Forstot, Karen Repine, Michael Wildes, Christopher B. Estopinal, Aaleya Koreishi, Patricia Ple-plakon, Carol S. Clemons, Ravi Patel, Penny A. Asbell, Sanda Ashe, Sarah G. Bonaffini, Kourtney Houser, Michael A. Wallace, Jesse M Wesberry, Alfonso Iovieno, Sonia N. Yeung, Joshua C. Teichman, Nima Noordeh, Anne Faucher, Marie-Claude Robert, Mona Harissi‐Dagher, Jacob Rullo, Stephanie Baxter, Davin Johnson, Dean Mah, Matthew Benson, Stephan Ong Tone, Hall F. Chew, Mojgan Hassonlou, Shaohui Liu, Jennifer Eikenberry, Chi-Wah Yung, Joanne F Shen, Charles C. Lin, Charles Yu, Christopher N. Ta, Kenneth M. Goins, John E. Sutphin, Kerri Svanda, Stacy Keppol, Audrey Talley Rostov, Neil Vyas, Kimberly Hsu, Gerri Goodman, Lisa McHam, Dale Oates, Ramy Rizkalla, Anita N. Shukla, Mathew Veena, Craig W. See, Jeffrey M. Goshe, Robert S. Feder, Jeanine Baqai, Surendra Basti, Ramez I. Haddadin, Jae Young You, Lena Dixit, Ravi H Patel, Kimberly T Golde, Gerald W. Zaidman, Sankara Mahesh, Vikas Sharma, Jason D. Wesolosky, Darby D. Miller, Helen Jeffrey, Mark J. Mannis, Rachael L. Niederer

Bibliographic record

VenueJAMA Ophthalmology · 2025
Typeletter
Languageen
FieldMedicine
TopicHerpesvirus Infections and Treatments
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsMedicinePostherpetic neuralgiaVaricella zoster virusDermatologyShinglesNeuralgiaDiseaseOphthalmologyVirologyNeuropathic painAnesthesiaPathologyVirus

Abstract

fetched live from OpenAlex

Importance: Evidence regarding suppressive valacyclovir treatment on postherpetic neuralgia is necessary to guide care. Objective: To test the hypothesis that suppressive treatment with 1000 mg/d of oral valacyclovir for 12 months reduces the prevalence, severity, and duration of postherpetic neuralgia compared with placebo at 12 and 18 months in participants with herpes zoster ophthalmicus (HZO). Design, Setting, and Participants: Multicenter, placebo-controlled randomized clinical trial including 527 immunocompetent, nonpregnant adults with history of HZO rash, documented keratitis, or iritis within 1 year and an estimated glomerular filtration rate of 45 mL/min/1.73 m2 or greater. The study was conducted at 95 participating sites (in Canada, New Zealand, and the US) from November 2017 to June 2024 and participant visits occurred every 3 months. Intervention: Treatment with 1000 mg/d of valacyclovir or placebo for 12 months. Main Outcomes and Measures: Prevalence of postherpetic neuralgia, severity as determined by pain score (a score of ≥3 on a scale of 1-10), pain duration (≥3 months after HZO onset), and total daily dose of pain medication. Results: Of the 527 participants (490 completed 12 months of treatment and 460 completed 18 months), 73 (14%) had postherpetic neuralgia and were analyzed by age at HZO onset (<60 years or ≥60 years) and disease duration (recent [<6 months] or chronic [≥6 months]). Of the 73 participants with postherpetic neuralgia (34 in the valacyclovir group and 39 in the placebo group), the mean age was 62.4 years (SD, 13.6 years), 59% were female, 5% were Black or African American, and 10% were Hispanic. The prevalence of postherpetic neuralgia at 12 months was not reduced by valacyclovir (12/32 [38%]) compared with placebo (14/35 [40%]) (between-group difference, 2.5% [95% CI, -20.8% to 25.8%]; P>.99). The participants who were younger than 60 years at HZO onset and had a chronic disease duration had lower pain scores in the valacyclovir group (mean score, 0.3 [SD, 0.9]) vs the placebo group (mean score, 0.8 [SD, 1.9]) at 12 months (P = .045) and at 18 months (mean score, 0.2 [SD, 0.9] vs 1.0 [SD, 2.3], respectively; P = .02). There was a decrease in pain duration in the valacyclovir group at 18 months (mean, 13.6 [SD, 11.4] months) vs the placebo group (mean, 18.7 [SD, 29.5] months) (linear mixed-effects model between-group difference, -3.39 months [95% CI, -6.73 to -0.04 months]; P = .046). The total daily dose of neuropathic pain medication was lower in the valacyclovir group (mean, 271.4 [SD, 593.8] mg/d) vs the placebo group (mean, 363.4 [SD, 592.2] mg/d) at 12 months (linear mixed-effects model P = .006) and at 18 months (mean, 209.0 [SD, 412.8] mg/d vs 286.2 [SD, 577.9] mg/d, respectively; linear mixed-effects model P = .01). Conclusions and Relevance: One year of suppressive treatment with valacyclovir was associated with a lower dosage of neuropathic pain medication. Participants in the valacyclovir group, who were younger at HZO onset and had a chronic disease duration, had lower pain scores. These secondary outcomes support consideration of 1 year of suppressive treatment with valacyclovir to reduce dosage of pain medications and pain due to HZO. Trial Registration: ClinicalTrials.gov Identifier: NCT03134196.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.029
GPT teacher head0.348
Teacher spread0.319 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations8
Published2025
Admission routes2
Has abstractyes

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