Evidence map›Paper›PMID 42648770›Full record

ArticleBMJ open2026

Study protocol for a phase II clinical trial evaluating the safety and efficacy of favipiravir injection combined with oseltamivir in influenza treatment.

Sayaka Hikida, Hidetoshi Nomoto, Yukari Uemura, Tadaki Suzuki, Koichi Izumikawa, Hiroki Ohge, Masaya Yamato, Yasuyuki Kato, Ryota Hase, Tetsuji Aoyagi and 14 more

Abstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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

24 authors.

Sayaka HikidaDisease Control and Prevention Center, National Center for Global Health and Medicine, Japan Institute for Health Security, Tokyo, Japan.ORCID http://orcid.org/0009-0006-6495-0277
Hidetoshi NomotoDisease Control and Prevention Center, National Center for Global Health and Medicine, Japan Institute for Health Security, Tokyo, Japan nomoto.h@jihs.go.jp.
Yukari UemuraLaboratory of Biostatistics, Department of Data Science, Center for Clinical Sciences, Japan Institute for Health Security, Tokyo, Japan.
Tadaki SuzukiDepartment of Infectious Disease Pathology, National Institute of Infectious Diseases, Japan Institute for Health Security, Tokyo, Japan.
Koichi IzumikawaDepartment of Infectious Diseases, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
Hiroki OhgeProject Research Center for Nosocomial Infectious Diseases, Hiroshima University, Hiroshima, Japan.
Masaya YamatoInfectious Diseases Center, Rinku General Medical Center, Osaka, Japan.
Yasuyuki KatoDepartment of Infectious Diseases, International University of Health and Welfare Narita Hospital, Chiba, Japan.
Ryota HaseDepartment of Infectious Diseases, Japanese Red Cross Narita Hospital, Chiba, Japan.ORCID http://orcid.org/0000-0002-3135-1757
Tetsuji AoyagiDepartment of Clinical Microbiology and Infection, Tohoku University Graduate School of Medicine, Miyagi, Japan.
Hideharu HagiyaDepartment of Infectious Diseases, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.ORCID http://orcid.org/0000-0002-5086-1891
Yoko NukuiDepartment of Infection Control & Laboratory Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Kazuko YamamotoFirst Department of Internal Medicine, Division of Infectious, Respiratory, and Digestive Medicine, University of the Ryukyus Graduate School of Medicine, Okinawa, Japan.
Yoshio TakesueChita Peninsula General Medical Organization, Rinku Hospital, Aichi, Japan.
Kota SawadaLaboratory of Biostatistics, Department of Data Science, Center for Clinical Sciences, Japan Institute for Health Security, Tokyo, Japan.
Yosuke ShimizuLaboratory of Biostatistics, Department of Data Science, Center for Clinical Sciences, Japan Institute for Health Security, Tokyo, Japan.
Sho MiyamotoDepartment of Infectious Disease Pathology, National Institute of Infectious Diseases, Japan Institute for Health Security, Tokyo, Japan.
Namiko TamuraDisease Control and Prevention Center, National Center for Global Health and Medicine, Japan Institute for Health Security, Tokyo, Japan.
Kozue TakahashiDisease Control and Prevention Center, National Center for Global Health and Medicine, Japan Institute for Health Security, Tokyo, Japan.
Sho SaitoDisease Control and Prevention Center, National Center for Global Health and Medicine, Japan Institute for Health Security, Tokyo, Japan.
Kazuki MiyazakiCenter for Clinical Sciences, Japan Institute for Health Security, Tokyo, Japan.
Eriko MorinoCenter for Clinical Sciences, Japan Institute for Health Security, Tokyo, Japan.
Daisuke TokitaCenter for Clinical Sciences, Japan Institute for Health Security, Tokyo, Japan.
Norio OhmagariDisease Control and Prevention Center, National Center for Global Health and Medicine, Japan Institute for Health Security, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionOlder adults are at an increased risk of influenza-related hospitalisation and mortality due to a combination of risk factors. Severe influenza and excess mortality in this population remain major public health concerns, underscoring the need for novel treatment strategies. METHODS AND ANALYSIS: This multicentre, investigator-initiated, randomised, double-blind clinical trial evaluated the efficacy and safety of the investigational drug favipiravir injection (T-705IV) in combination with oseltamivir phosphate, compared with oseltamivir monotherapy in hospitalised patients with influenza aged ≥65 years. Both T-705IV and oseltamivir phosphate will be administered for 5 days. The primary endpoint is time from randomisation to recovery within 15 days. Recovery is defined as either actual hospital discharge or sustained clinical status permitting discharge for 3 consecutive days. Clinical status will be assessed using a 7-point ordinal scale based on hospitalisation status and oxygen requirement. The primary analysis employs a Bayesian Cox proportional hazards model with a non-informative prior to estimate the posterior probability that the HR exceeds 1.0. The secondary endpoints include the distribution of 7-point scale scores over a 29-day period; rates of clinical worsening at days 15 and 29; duration of fever; all-cause mortality; intensive care unit admission within 29 days; pneumonia complication rate at 15 days; and changes in viral titre and viral RNA load on days 1, 2, 3 and 7. Safety will be assessed through the collection of adverse events (AEs) up to day 29. Pharmacokinetic evaluation will include measurement of plasma favipiravir concentrations on day 3. The planned sample size is 80 patients (40 per group). ETHICS AND DISSEMINATION: Written informed consent will be obtained from all participants. This study was approved by the Center Hospital of the National Center for Global Health and Medicine Institutional Review Board (approval number: NCGM-I-022-24a) and registered in the Japan Registry of Clinical Trials. Study findings will be disseminated through peer-reviewed publications and/or presentations at academic conferences. TRIAL REGISTRATION NUMBER: jRCT2031240586.

Indexed as

AmidesAntiviral AgentsInfluenza, HumanOseltamivirPyrazinesAgedClinical Trials, Phase II as TopicDouble-Blind MethodDrug Therapy, CombinationFemaleHumansMaleMulticenter Studies as TopicRandomized Controlled Trials as TopicTreatment OutcomeAmidesAntiviral AgentsfavipiravirOseltamivirPyrazinesClinical TrialINFECTIOUS DISEASESRandomized Controlled Trial

Identifiers

PMID42648770
PMCPMC13536041

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.