# Association between diagnosis to treatment interval and survival outcomes in diffuse large B-cell lymphoma using a causal inference approach

Source: [Biological sciences : nature.com subject feeds](https://www.nature.com/articles/s41598-026-78239-1) · 2026-11-14 · Life
Page: https://themorning.science/story/association-between-diagnosis-to-treatment-interval-and-survival-outcomes-in-dif-a9faeec2cfb56178
Kind: research · Impact: low

## In brief

- A study published in Scientific Reports examines the association between diagnosis-to-treatment interval and survival outcomes in diffuse large B-cell lymphoma.
- The analysis uses a causal inference approach.
- The source feed provided no summary, so further quantitative findings are not available from the sources given.

## Why it matters

Waiting time from diagnosis to treatment is a modifiable factor in cancer care, so a causal analysis of its link to survival in a common lymphoma can inform clinical and health-system timing decisions.

## Timeline

- 2026-11-14: Listed in nature.com biological sciences subject feed

## Coverage

- [Association between diagnosis to treatment interval and survival outcomes in diffuse large B-cell lymphoma using a causal inference approach](https://www.nature.com/articles/s41598-026-78239-1) — Biological sciences : nature.com subject feeds, 2026-11-14

Tags: lymphoma, oncology, survival analysis, causal inference, treatment delay

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Brief generated by AI (claude-haiku-5-5) from the reporting listed under Coverage. Headlines belong to their publishers. The Morning Science – https://themorning.science