Evidence mapPaperPMID 39802701Full record

ArticleThe Lancet regional health. Southeast Asia2025

Access to timely cancer treatment initiation in India: extent, determinants and trends.

Pritam Halder, Jyoti Dixit, Nidhi Gupta, Nikita Mehra, Ashish Singh, Pankaj Malhotra, Anisha Mathew, Lalit Kumar, Amal Chandra Kataki, Sudeep Gupta and 1 more

Erratum issuedAbstract read
In one paragraph

Article in The Lancet regional health. Southeast Asia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Barriers to help-seeking for cancer in India: A scoping review.The Indian journal of medical research · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Time to cancer treatment initiation more than 30 days: one size for all?The Lancet regional health. Southeast Asia · 2025
    Article
  15. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Pritam HalderDepartment of Community Medicine and School of Public Health, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
Jyoti DixitDepartment of Community Medicine and School of Public Health, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
Nidhi GuptaDepartment of Radiation Oncology, Government Medical College and Hospital, Chandigarh, India.
Nikita MehraDepartment of Medical Oncology, Adyar Cancer Institute, Chennai, Tamil Nadu, India.
Ashish SinghDepartment of Medical Oncology, Christian Medical College, Vellore, Tamil Nadu, India.
Pankaj MalhotraDepartment of Clinical Haematology and Medical Oncology, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
Anisha MathewDepartment of Medical Oncology, All India Institute of Medical Sciences (AIIMS), New Delhi, India.
Lalit KumarDepartment of Medical Oncology, All India Institute of Medical Sciences (AIIMS), New Delhi, India.
Amal Chandra KatakiDepartment of Gynaecologic Oncology, Dr. B. Booroah Cancer Institute, Guwahati, Assam, India.
Sudeep GuptaDepartment of Medical Oncology, Tata Memorial Centre, Mumbai, Maharashtra, India.
Shankar PrinjaDepartment of Community Medicine and School of Public Health, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Treatment delays are significantly associated with advanced stage, poor response to treatment, increased mortality risk, poor health outcomes, increased healthcare expenditures among cancer patients. However, factors associated with these delays have not yet been robustly evaluated. In order to bridge this gap, we determined the delayed time to treatment initiation (TTI) among cancer patients in India, ascertained its determinants, and assessed the trends of delayed TTI. Methods: We analysed data collected from 6695 cancer patients seeking outpatient/daycare treatment, recruited at purposively selected seven healthcare facilities across six states of India. Data on socio-demographic and clinical characteristics including date of cancer diagnosis, date of treatment initiation, cancer site, stage and type of treatment were collected to determine the median TTI and ascertain its determinants among cancer patients in India. Time to treatment initiation was calculated as the duration (days) between diagnosis of cancer (histologically/clinically) and date of initiation of treatment. Multi-variable logistic regression was employed to analyse the relationship between the outcome variable (TTI) and each explanatory variable. A Cox Proportional Hazard (CPH) model was used to conduct time-to-event analysis, and to assess the impact of government-funded health insurance on timely cancer treatment initiation. Findings: The median (IQR) overall TTI was 20 (7-39) days, with a mean of 53.7 days (SD, 192.9). The TTI was higher for those having head and neck cancer (median TTI: 29 days, IQR: 10.5-55.5) and those receiving radiotherapy as initial treatment (27.5 days, IQR: 10-49.5). Younger patients, those educated up to graduation level and males had significantly lower odds of delayed TTI. As compared to patients who were diagnosed between 1995 and 2017, those diagnosed after 2018 had a 36% (26-46%) higher odds of timely initiation of treatment within 30 days. Upon stratifying by enrolment under PMJAY, we found that while the access for timely treatment initiation increased by 33% for those who were not enrolled, vs. 90% among those enrolled under PM-JAY. Overall, this shows significant improvement in timely initiation of cancer treatment as a result of introduction of PM-JAY. Interpretation: The study highlights the positive impact of government-funded health insurance schemes on the timely access to cancer treatment in India. Our study recommends expanding AB PM-JAY cancer packages to include cost-effective treatments, increasing population coverage under screening programs and promoting e-RUPI to reduce financial constraints associated with diagnostic services to address delayed treatment initiation due to unknown cancer stages. Funding: Department of Health Research, Ministry of Health and Family Welfare, New Delhi, India.

Indexed as

Access to treatmentBarriers to treatmentCancerDeterminantsTime to treatment initiation

Identifiers

PMID39802701
PMCPMC11722993

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.