Evidence map›Paper›PMID 28977979›Full record

ArticleOncotarget2017

Impact of marital status during diagnosis on cancer-caused specific survival in acute myeloid leukemia patients: a case-control and population-based study.

Zhuojun Zheng, Yuandong Zhu, Xiaodong Li, Wenwei Hu, Jingting Jiang

Abstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

5 authors.

Zhuojun ZhengDepartment of Hematology, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Yuandong ZhuDepartment of Hematology, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Xiaodong LiDepartment of Tumor Biological Treatment, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Wenwei HuDepartment of Tumor Biological Treatment, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Jingting JiangDepartment of Tumor Biological Treatment, The Third Affiliated Hospital of Soochow University, Changzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study investigated the impact of marital status on cancer-caused specific mortality among acute myeloid leukemia (AML) patients in the United States.

methodsWe used the Surveillance, Epidemiology and End Results program to identify 50,825 patients who had their clinical and follow-up information available and were diagnosed for AML between the years 1988 and 2015. The univariate and multivariable Cox regression models were used to analyze the patient data, and to minimize the group differences due to covariates between groups, a 1:1 propensity score matching was used in subsequent subgroup analysis.

resultsOur study demonstrated that married patients were less likely to die due to AML after adjusting for demographic and clinicopathological variables, than patients with variable unmarried status. Further analysis indicated that widowed, divorced and never married status correlated with poor cancer-cause specific survival than being married in almost all subgroups after being adjusted for the aforementioned variables (

conclusionOverall, our study concluded that unmarried AML patients were at greater risk of cancer-specific mortality than married, and thus indicated that physicians should focus on health care strategies that target social support, in order to reduce the cancer-specific mortality in unmarried patients.

Indexed as

acute myeloid leukemiamarital statusSEERsubgroup analysissurvival analysis

Identifiers

PMID28977979
PMCPMC5617539

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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.