Evidence map›Paper›PMID 28861380›Full record

ArticleGland surgery2017

Smoking and mortality in women diagnosed with breast cancer-a systematic review with meta-analysis based on 400,944 breast cancer cases.

Martin Sollie, Camilla Bille

Open access · diamondAbstract read
In one paragraph

Article in Gland surgery, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 5 pooled it
1.2field-weighted citation impact, top 20% 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

23 citing papers in PubMed, 5 syntheses or guidelines pooled it, 39 citations in OpenAlex.

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  13. Relationship between Cigarette Smoking and Cancer Characteristics and Survival among Breast Cancer Patients.International journal of environmental research and public health · 2022
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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

2 authors at 1 institution in 1 country.

Martin SollieDepartment of Plastic Surgery, Odense University Hospital, Sdr Boulevard 29, 5000 Odense C, Denmark.
Camilla BilleDepartment of Plastic Surgery, Odense University Hospital, Sdr Boulevard 29, 5000 Odense C, Denmark.
Odense University Hospital · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt is evident that smoking is causing disease and increased mortality in general. Recently published data are now suggesting that smoking might increase both the overall mortality in women diagnosed with breast cancer but also increase their risk of dying from their breast cancer.

methodsA systematic review and meta-analysis on smoking status in women diagnosed with breast cancer, their mortality rate and cause of death. Based on all cohort studies published within the last ten years.

resultsTwelve studies met our inclusion criteria, and 400,944 women diagnosed with primary invasive breast cancer was included. Hazard ratio (HR) for breast cancer associated death in former smokers was 1.02 (0.93, 1.12) and for current smokers 1.28 (1.17, 1.41) when compared to never smokers. For all-cause death, the HR for former smokers was 1.12 (1.04, 1.19), and for current smokers 1.52 (1.32, 1.76) when compared to never smokers.

conclusionsThis large systematic review and meta-analysis found a 28% increase in breast cancer-associated mortality in those who were current smokers compared to never smokers. The mortality in former smokers was equal to the one found in never smokers. This indicates that breast cancer patients ceasing to smoke can lower their risk of dying from their breast cancer disease dramatically, and possibly regain the risk of a never smoker.

Indexed as

Breast cancerdisease-specific mortalitymortalitysmoking cessation

Identifiers

PMID28861380
PMCPMC5566657
OpenAlexW2612364345

What OpenQuestion holds

Textmetadata
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.