Evidence map›Paper›PMID 40406264›Full record

ArticleFrontiers in oncology2025

Impact of secondary hematologic malignancies on prognosis of Hodgkin's lymphoma survivors.

Fangheng Lin, Debin Liu, Tao Huang, Yunlong Luo

Abstract read
In one paragraph

Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

4 authors.

Fangheng LinDepartment of Hematology, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, Fujian, China.
Debin LiuDepartment of Hematology, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, Fujian, China.
Tao HuangDepartment of Hematology, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, Fujian, China.
Yunlong LuoDepartment of Hematology, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, Fujian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The purpose of this study is to report the differences in the prognosis of Hodgkin's lymphoma (HL) survivors with or without secondary hematologic malignancies (SHM). Methods: This study included patients diagnosed with HL in the Surveillance, Epidemiology, and End Results (SEER) database. Propensity score matching was used to balance the baseline differences between SHM and non-SHM patient groups, while survival analysis was used to compare the overall survival and long-term prognosis differences between the two groups. Results: A total of 36497 patients, along with 231 matched pairs, were included in the study, with a median follow-up time of eight years. The pre-matching multivariate Cox regression results showed that the non-SHM group had a 69% higher risk of all-cause mortality compared to the SHM group. The pre-matching Landmark method revealed no difference in survival between the two groups at < 30 months; at ≥ 30 months, the mortality risk in the SHM group was higher than that in the non-SHM group (HR = 5.188, 95% CI: 3.510, 7.667, P < 0.05). After matching, the Landmark method showed that at < 50 months, the mortality risk of the SHM group was lower than that of the non-SHM group (HR = 0.629, 95% CI: 0.434, 0.935, P<0.05). At ≥ 50 months, the mortality risk of the SHM group was higher than that of the non-SHM group (HR = 3.759, 95% CI: 2.667, 5.300, P < 0.05). Conclusion: The presence of SHM significantly increases the long-term mortality risk in Hodgkin's lymphoma survivors.

Indexed as

HL survivorslandmark curveprognostic differencesSHMsurvival analysis

Identifiers

PMID40406264
PMCPMC12095271

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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.