Evidence map›Paper›PMID 38846580›Full record

ArticleDialogues in health2024

Global spatiotemporal distributions of lymphoma from 1990 to 2019: A Joinpoint regression analysis based on the global burden of disease study 2019, and projections until 2044.

Jiacheng Liu

Abstract read
In one paragraph

Article in Dialogues in health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. 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

1 author.

Jiacheng LiuCentral South University, Changsha, Hunan China, Changsha, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lymphoma is a dissimilar collection of malignant neoplasms arising from the clonal propagation of lymphocytes. It is conventionally classified into two categories: Hodgkin lymphoma and non-Hodgkin lymphoma. The purpose of this study is to analyze the temporal patterns in the incidence of lymphoma worldwide over the past few decades and forecast the future trends from 2020 to 2044. Data on HL and NHL were obtained from the Global Burden of Disease Study 2019. In an effort to estimate the incidence rate trend, the Joinpoint regression analysis model was exploited. What's more, to project the disease burden by 2044, the Bayesian age-period-cohort analysis was employed. In 2019, higher incidence rates were observed in males and the elderly for both subtypes. Over the last three decades, a significant decline in the age-standardized incidence rate of HL was observed, while NHL has shown an increasing trend. By 2044, the age-standardized incidence rate of HL is anticipated to decrease in males and increase in females, while that of NHL is expected to rise. This study presents a new assessment of the spatiotemporal distributions of lymphoma. Significant emphasis should be placed on the effective management and long-term monitoring of patients to mitigate the potential future impact of the disease.

Indexed as

CancerGlobal burdenHodgkin lymphomanon-Hodgkin lymphoma

Identifiers

PMID38846580
PMCPMC11153881

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.