Evidence map›Paper›PMID 39385163›Full record

ArticleWorld journal of surgical oncology2024

Time to death from cervical cancer and its predictors in hospitalized patients: a survival approach study in Mato Grosso, Brazil.

Sancho Pedro Xavier, Kátia Moreira da Silva, Noemi Dreyer Galvão, Marco Aurélio Bertúlio das Neves, Adila de Queiroz Neves Almeida, Ageo Mario Cândido da Silva

Abstract read
In one paragraph

Article in World journal of surgical oncology, 2024. 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
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.

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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

6 authors.

Sancho Pedro XavierInstitute of Collective Health, Federal University of Mato Grosso, Av. Fernando Correa da Costa, nº 2367 - Bairro Boa Esperança, Cuiabá, Mato Grosso, 78060-900, Brazil. sanchoxavierxavier@gmail.com.
Kátia Moreira da SilvaInstitute of Collective Health, Federal University of Mato Grosso, Av. Fernando Correa da Costa, nº 2367 - Bairro Boa Esperança, Cuiabá, Mato Grosso, 78060-900, Brazil.
Noemi Dreyer GalvãoInstitute of Collective Health, Federal University of Mato Grosso, Av. Fernando Correa da Costa, nº 2367 - Bairro Boa Esperança, Cuiabá, Mato Grosso, 78060-900, Brazil.
Marco Aurélio Bertúlio das NevesInstitute of Collective Health, Federal University of Mato Grosso, Av. Fernando Correa da Costa, nº 2367 - Bairro Boa Esperança, Cuiabá, Mato Grosso, 78060-900, Brazil.
Adila de Queiroz Neves AlmeidaInstitute of Collective Health, Federal University of Mato Grosso, Av. Fernando Correa da Costa, nº 2367 - Bairro Boa Esperança, Cuiabá, Mato Grosso, 78060-900, Brazil.
Ageo Mario Cândido da SilvaInstitute of Collective Health, Federal University of Mato Grosso, Av. Fernando Correa da Costa, nº 2367 - Bairro Boa Esperança, Cuiabá, Mato Grosso, 78060-900, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCervical cancer (CC) is a serious public health concern, being the fourth most common cancer among women and a leading cause of cancer mortality. In Brazil, many women are diagnosed late, and in Mato Grosso, with its geographical diversity, there are specific challenges. This study analyzed hospital survival and its predictors using data from the Hospital Information System (SIH) of the Unified Health System (SUS) in Mato Grosso from 2011 to 2023.

methodsCox regression and Kaplan-Meier models were applied to determine survival time and identify mortality predictors. The adjusted Hazard Ratio (AHR) with a 95% Confidence Interval (CI) was used to measure the association between the factors analyzed.

resultsThe hospital mortality rate was 9.88%. The median duration of hospitalization was 33 days (interquartile range [IQR]: 12-36), with a median survival of 43.7%. Patients were followed up for up to 70 days. In the multivariable Cox model, after adjusting for potential confounders, the risk of death during hospitalization was higher in patients aged 40-59 years (AHR = 1.39, p = 0.027) and 60-74 years (AHR = 1.54, p = 0.007), in the absence of surgical procedures (AHR = 4.48, p < 0.001), in patients with medium service complexity (AHR = 2.40, p = 0.037), and in the use of ICU (AHR = 4.97, p < 0.001). On the other hand, patients with hospital expenses above the median (152.971 USD) showed a reduced risk of death (AHR = 0.21, p < 0.001).

conclusionThis study highlights that hospitalized CC patients have reduced survival, underscoring the need for interventions to improve care, including strategies for early diagnosis and expanded access to adequately resourced health services.

Indexed as

HospitalizationHospital MortalityUterine Cervical NeoplasmsAdultAgedBrazilFemaleFollow-Up StudiesHumansMiddle AgedPrognosisRetrospective StudiesSurvival RateTime FactorsCervical cancerHospitalized patientsMato GrossoPrognostic factorsSurvival

Identifiers

PMID39385163
PMCPMC11463162

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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.