Evidence map›Paper›PMID 42392121›Full record

Trial reportThe Lancet. Global health2026

Phone-based screening versus home-based screening after tuberculosis in India (TB Aftermath): a multicentre, open-label, randomised, controlled, non-inferiority trial.

Samyra R Cox, Abhay Kadam, Shahanara Valawalkar, Gayatri Lele, Aye Hnin Moe, Vipul Dhamale, Akshay N Gupte, Nishi Suryavanshi, Emily A Kendall, Hojoon Sohn and 8 more

Registry-linked trialAbstract readMulticenter StudyRandomized Controlled TrialEquivalence Trial
In one paragraph

Trial report in The Lancet. Global health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04333485 (Tuberculosis), which is not on this 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.

NCT04333485 nacompletednot on this map

Tuberculosis (TB) Aftermath: a Hybrid Type I Effectiveness-implementation Non-inferiority Randomized Trial in India Comparing Two Active Case Finding (ACF) Strategies Among Individuals Treated for TB and Their Household Contacts

TypeinterventionalSponsorJohns Hopkins UniversityRan2021 to 2025Enrolled3,094ConditionsTuberculosis (TB)ArmsHome-based Active Case Finding (HACF), Telephonic Active Case Finding (TACF)
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

18 authors.

Samyra R CoxDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. Electronic address: scox26@jh.edu.
Abhay KadamJohns Hopkins India, Center for Infectious Diseases in India (CIDI), Pune, India.
Shahanara ValawalkarJohns Hopkins India, Center for Infectious Diseases in India (CIDI), Pune, India.
Gayatri LeleJohns Hopkins India, Center for Infectious Diseases in India (CIDI), Pune, India.
Aye Hnin MoeDivision of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Vipul DhamaleDepartment of Respiratory Medicine, Dr D Y Patil Medical College, Hospital and Research Centre, Pune, India.
Akshay N GupteBoston University School of Public Health, Global Health, Boston, MA, USA.
Nishi SuryavanshiJohns Hopkins India, Center for Infectious Diseases in India (CIDI), Pune, India; Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Emily A KendallDivision of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Hojoon SohnDepartment of Preventive Medicine, Seoul National University College of Medicine, Seoul, South Korea.
Christopher J HoffmannDivision of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Arjunlal KakraniDepartment of Medicine, Dr D Y Patil Medical College, Hospital and Research Centre, Pune, India.
Ryan ThompsonDepartment of Global Health and Population, Harvard TH Chan School of Public Health, Boston, MA, USA.
Nikhil GupteJohns Hopkins India, Center for Infectious Diseases in India (CIDI), Pune, India; Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Madhu Sudan BarthwalDepartment of Respiratory Medicine, Dr D Y Patil Medical College, Hospital and Research Centre, Pune, India.
Jonathan E GolubDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Vidya MaveJohns Hopkins India, Center for Infectious Diseases in India (CIDI), Pune, India; Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, MD, USA.
TB Aftermath study team

Funding

Pharmacology and Pharmacometrics CoreP30AI168436 · NIAID · JOHNS HOPKINS UNIVERSITY · PI JONATHAN E. GOLUB · 2022 to 2026
$6.1M
TB AftermathR01AI143748 · NIAID · JOHNS HOPKINS UNIVERSITY · PI GOLUB, JONATHAN E., MAVE, VIDYA · 2020 to 2025
$3.1M
Optimizing Post-treatment Household Contact Investigation for TuberculosisF31AI183564 · NIAID · JOHNS HOPKINS UNIVERSITY · PI COX, SAMYRA RODER · 2024 to 2024
$47k
NIAID NIH HHS F31 AI183564NIAID NIH HHS P30 AI168436NIAID NIH HHS R01 AI143748
6 · The paper itself

Abstract

backgroundTuberculosis survivors and their household contacts are at increased risk for tuberculosis even after treatment completion; however, effective strategies for post-tuberculosis screening remain untested. We aimed to assess whether phone-based screening is non-inferior to home-based screening for tuberculosis after treatment completion in India.

methodsIn this multicentre, open-label, randomised, controlled, non-inferiority trial, we enrolled tuberculosis survivors (aged >18 years) within 60 days of completing treatment for any form of tuberculosis from six public clinics in Maharashtra, India. Household contacts were enumerated at baseline (all ages). Survivors were randomly assigned (1:1) to receive phone-based or home-based symptom screening at 6 months and 12 months. The trial was powered to identify a difference in the tuberculosis detection rate per 100 person-years among survivors and contacts together (primary outcome), comparing screening groups during the 12 months after survivor treatment completion. We conducted an intention-to-treat analysis with a rate difference non-inferiority margin of 1·70 per 100 person-years based on the upper bound of the 95% CI. We adjusted for household-level clustering of tuberculosis by fitting a multilevel Poisson model. We also conducted a subgroup analysis of detection rates among survivors and contacts separately. This study is registered with ClinicalTrials.gov, NCT04333485 and is completed.

findingsWe enrolled 1076 tuberculosis survivors (537 in the phone-based screening group and 539 in the home-based screening group) and enumerated 3309 contacts (1638 in the phone-based screening group and 1671 in the home-based screening group) between Jan 21, 2021, and Sept 4, 2023. In the 12-month post-treatment period, tuberculosis was detected in 75 (7%) tuberculosis survivors and 30 (1%) contacts: 41 events in the phone-based screening group (rate 1·19 [95% CI 0·82-1·71]) compared with 64 events in the home-based screening group (1·92 [1·37-2·45]). Non-inferiority was reached (rate difference 0·73 [95% CI 0·05-1·41]). Among tuberculosis survivors, the recurrence detection rate was 4·36 (95% CI 2·87-6·34) in the phone-based screening group compared with 8·00 (5·90-10·60) in the home-based screening group (p=0·01). Among contacts, the tuberculosis detection rate was 0·61 (95% CI 0·32-1·07) in the phone-based screening group compared with 0·70 (0·39-1·20) in the home-based screening group (p=0·70).

interpretationRisk of tuberculosis remains high for households with a tuberculosis survivor. For detecting tuberculosis among survivors and their household contacts together, phone-based screening was non-inferior to home-based screening. For survivors, the recurrence detection rate was higher in the home-based screening group. Countries with a high burden of recurrence should consider home-based screening among tuberculosis survivors.

fundingUS National Institute of Allergy and Infectious Diseases.

Indexed as

Mass ScreeningTelephoneTuberculosisAdultFemaleHumansIndiaMaleMiddle AgedYoung Adult

Identifiers

PMID42392121
PMCPMC13681456

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Registered trials

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.