Evidence map›Paper›PMID 27103625›Full record

ArticleBMJ open2016

Predictors of mortality within 1 year after primary ovarian cancer surgery: a nationwide cohort study.

Mette Ørskov, Maria Iachina, Rikke Guldberg, Ole Mogensen, Bente Mertz Nørgård

Abstract read
In one paragraph

Article in BMJ open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  16. Ovarian cancer in the world: epidemiology and risk factors.International journal of women's health · 2019
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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.

Mette ØrskovResearch Unit of Gynecology, Department of Gynecology and Obstetrics, Odense University Hospital, Institute of Clinical Research, University of Southern Denmark, Odense, Denmark.
Maria IachinaResearch Unit of Clinical Epidemiology, Centre for Clinical Epidemiology Odense University Hospital, Institute of Clinical Research, University of Southern Denmark, Odense, Denmark.
Rikke GuldbergResearch Unit of Clinical Epidemiology, Centre for Clinical Epidemiology Odense University Hospital, Institute of Clinical Research, University of Southern Denmark, Odense, Denmark.
Ole MogensenResearch Unit of Gynecology, Department of Gynecology and Obstetrics, Odense University Hospital, Institute of Clinical Research, University of Southern Denmark, Odense, Denmark.
Bente Mertz NørgårdResearch Unit of Clinical Epidemiology, Centre for Clinical Epidemiology Odense University Hospital, Institute of Clinical Research, University of Southern Denmark, Odense, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo identify predictors of mortality within 1 year after primary surgery for ovarian cancer.

designProspective nationwide cohort study from 1 January 2005 to 31 December 2012.

settingEvaluation of data from the Danish Gynaecology Cancer Database and the Danish Civil Registration System.

participants2654 women who underwent surgery due to a diagnosis of primary ovarian cancer. OUTCOME MEASURES: Overall survival and predictors of mortality within 0-180 and 181-360 days after the primary surgery. Examined predictors were age, preoperative American Society of Anesthesiologists (ASA) score, body mass index (BMI), International Federation of Gynaecology and Obstetrics (FIGO) stage, residual tumour tissue after surgery, perioperative blood transfusion and calendar year of surgery.

resultsThe overall 1-year survival was 84%. Within 0-180 days after surgery, the 3 most important predictors of mortality from the multivariable model were residual tumour tissue >2 cm versus no residual tumour (HR=4.58 (95% CI 3.20 to 6.59)), residual tumour tissue ≤2 cm versus no residual tumour (HR=2.50 (95% CI 1.63 to 3.82)) and age >64 years versus age ≤64 years (HR=2.33 (95% CI 1.69 to 3.21)). Within 181-360 days after surgery, FIGO stages III-IV versus I-II (HR=2.81 (95% CI 1.75 to 4.50)), BMI<18.5 vs 18.5-25 kg/m(2) (HR=2.08 (95% CI 1.18 to 3.66)) and residual tumour tissue >2 cm versus no residual tumour (HR=1.84 (95% CI 1.25 to 2.70)) were the 3 most important predictors.

conclusionsThe most important predictors of mortality within 1 year after surgery were residual tumour tissue (0-180 days after surgery) and advanced FIGO stage (181-360 days after surgery). However, our results suggest that the surgeon should not just aim at radical surgery, but also pay special attention to comorbidity, nutritional state, age >64 years and the need for perioperative blood transfusion.

Indexed as

AdultAgedAge FactorsBody Mass IndexComorbidityDenmarkFemaleHumansMiddle AgedMultivariate AnalysisNeoplasm, ResidualOvarian NeoplasmsPrognosisProspective StudiesRisk FactorsSeverity of Illness IndexMortalityOvarian cancerPredictorsSURGERY

Identifiers

PMID27103625
PMCPMC4853993

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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.