Evidence map›Paper›PMID 40326358›Full record

ArticleEmerging microbes & infections2025

Efficacy and safety of a novel short course rifapentine and isoniazid regimen for the preventive treatment of tuberculosis in Chinese silicosis patients: a pilot study (SCRIPT-TB).

Qiao-Ling Ruan, Qing-Luan Yang, Chun-Lian Ma, Miao-Yao Lin, Xi-Tian Huang, Ya-Pin Mao, Ji-Mei Gao, Jin-Ju Li, Xia-Ning Zhang, Zhi-Xiang You and 5 more

Abstract read
In one paragraph

Article in Emerging microbes & infections, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
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

15 authors.

Qiao-Ling RuanDepartment of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, People's Republic of China.
Qing-Luan YangDepartment of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, People's Republic of China.
Chun-Lian MaThe First People's Hospital of Wenling, Zhejiang, People's Republic of China.
Miao-Yao LinThe First People's Hospital of Wenling, Zhejiang, People's Republic of China.
Xi-Tian HuangThe First People's Hospital of Wenling, Zhejiang, People's Republic of China.
Ya-Pin MaoTaizhou Sanmen County Xiaoxiong Health Center, Zhejiang, People's Republic of China.
Ji-Mei GaoTaizhou Sanmen County Xiaoxiong Health Center, Zhejiang, People's Republic of China.
Jin-Ju LiTaizhou Sanmen County Xiaoxiong Health Center, Zhejiang, People's Republic of China.
Xia-Ning ZhangTaizhou Sanmen County Xiaoxiong Health Center, Zhejiang, People's Republic of China.
Zhi-Xiang YouTaizhou Sanmen County Xiaoxiong Health Center, Zhejiang, People's Republic of China.
Quan-Qing ZhengTaizhou Sanmen County Xiaoxiong Health Center, Zhejiang, People's Republic of China.
Yan-Fei RenShanghai Sci-Tech Inno Center for Infection & Immunity, Shanghai, People's Republic of China.
Xue-Feng LiuThe First People's Hospital of Wenling, Zhejiang, People's Republic of China.
Ling-Yun ShaoDepartment of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, People's Republic of China.
Wen-Hong ZhangDepartment of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTuberculosis preventive treatment (TPT) is essential for the end TB Strategy, but shorter and better tolerated regimens are needed to boost its coverage and acceptance.

methodsSilicosis patients aged 18 to 65 years received a novel 1H3P3 regimen (400 mg isoniazid and 450 mg rifapentine, thrice-weekly for 4 weeks) under direct observation and were actively followed up for 3 years. The safety and efficacy were compared to the 3-month, once-weekly isoniazid/rifapentine (3HP) group and observation group from our previous trials.

resultsA total of 279 eligible participants were enrolled, and 238 participants provided informed consent. All eligible participants had a median age of 56 years (IQR 52-60), 163 (68.5%) participants had a Bacillus Calmette-Guerin vaccine scar, and 74 (31.1%) participants were QuantiFERON-TB Gold In-Tube positive. There were 88 adverse events from 66 (27.7%) participants and only one (0.4%) participant had a Grade 3 adverse event. The completion rate was 92.0% (219/238). Six (2.5%) participants were diagnosed with active TB, five of which were bacterial confirmed cases. The cumulative active TB rate was 1.67 cases per 100 person-years. Compared to the previous study, the 1H3P3 regimen significantly reduced the 3-year cumulative active TB rate than the observation group (HR = 0.26, Log-rank

conclusionThe 1H

Indexed as

Antitubercular AgentsIsoniazidRifampinSilicosisTuberculosisAdolescentAdultAgedChinaDrug Therapy, CombinationEast Asian PeopleFemaleHumansMaleMiddle AgedPilot ProjectsAntitubercular AgentsIsoniazidRifampinrifapentineControlled clinical trialisoniazidpreventive treatmentrifapentinetuberculosis

Identifiers

PMID40326358
PMCPMC12086942

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.