Evidence map›Paper›PMID 33915700›Full record

ArticleHealthcare (Basel, Switzerland)2021

Actuarial Analysis of Survival among Breast Cancer Patients in Lithuania.

Aldona Skučaitė, Alma Puvačiauskienė, Rokas Puišys, Jonas Šiaulys

Open access · goldAbstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 48% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

4 authors at 1 institution in 1 country.

Aldona SkučaitėInstitute of Mathematics, Vilnius University, Naugarduko 24, LT-03225 Vilnius, Lithuania.
Alma PuvačiauskienėErgo Life Insurance SE, Geležinio Vilko 6A, LT-03150 Vilnius, Lithuania.
Rokas PuišysInstitute of Mathematics, Vilnius University, Naugarduko 24, LT-03225 Vilnius, Lithuania.
Jonas ŠiaulysInstitute of Mathematics, Vilnius University, Naugarduko 24, LT-03225 Vilnius, Lithuania.ORCID 0000-0002-8480-5644
Vilnius University · LT

Funding

Lietuvos Mokslo Taryba S-MIP-20-16
6 · The paper itself

Abstract

Breast cancer is the most common cause of mortality due to cancer for women both in Lithuania and worldwide. Chances of survival after diagnosis differ significantly depending on the stage of disease at the time of diagnosis. Extended term periods are required to estimate survival of, e.g., 15-20 years. Moreover, since mortality of the average population changes with time, estimates of survival of cancer patients derived after a long period of observation can become outdated and can be no longer used to estimate survival of patients who were diagnosed later. Therefore, it can be useful to construct analytic functions that describe survival probabilities. Shorter periods of observation can be enough for such construction. We used the data collected by the

Indexed as

breast cancercancer awareness campaigncentral death rateexposed to riskKaplan–Meier estimatesurvival analysis

Identifiers

PMID33915700
PMCPMC8066802
OpenAlexW3150751954

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.