Evidence map›Paper›PMID 36090327›Full record

ArticleFrontiers in surgery2022

Primary breast lymphoma in males: Incidence, demographics, prognostic factors, survival, and comparisons with females.

Jie Zhang, Binbin Ma, Hong Ji, Rong Guo

Open access · goldAbstract read
In one paragraph

Article in Frontiers in surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 85% of its field
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

2 citing papers in PubMed, 0 citations in OpenAlex.

  1. Article
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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 at 2 institutions in 1 country.

Jie ZhangDepartment of Plastic Surgery, The Second Hospital of Hebei Medical University, Shijiazhuang, China.
Binbin MaDepartment of Neurology, Weifang Hanting People's Hospital, Weifang, China.
Hong JiDepartment of General Surgery, The Second Hospital of Hebei Medical University, Shijiazhuang, China.
Rong GuoDepartment of Ultrasound, Weifang People's Hospital, Weifang, China.
Second Hospital of Hebei Medical University · CNWeifang People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Primary breast lymphoma (PBL) is a rare disease condition and is mainly observed in females. No male PBL cohorts were reported previously. This study aims to investigate the incidence, clinical characteristics, prognostic factors, and survival outcomes among male PBL patients and also to perform comparisons between males and females. Methods: Patients diagnosed with PBL between 2000 and 2019 from the Surveillance, Epidemiology, and End Results (SEER) database were identified. Age-adjusted incidence rates were calculated by year and age for trend analysis. Univariate and multivariate Cox hazard proportional regression analyses were performed to identify prognostic factors. Survival comparisons were conducted using the Kaplan-Meier method and the log-rank test. The propensity matching score (PSM) method was used to balance demographics. Results: The incidence rate of 122 male PBL patients diagnosed in the period of 2000 to 2019 was 0.169 (95% CI: 0.140-2.203) per million persons, which was much lower than that of 2,543 females (1.59, 95% CI: 1.53-1.65). Clinical demographics were similar between females and males, except for lymphoma subtype distribution ( Conclusions: This study first analyzed male patients with PBL involving incidence, clinical characteristics, and survival data. Sex disparity was also observed in the survival outcome of the disease.

Indexed as

death causeincidenceprimary breast lymphomaprognosissurvival

Identifiers

PMID36090327
PMCPMC9452836
OpenAlexW4293089651

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.