Evidence map›Paper›PMID 39316314›Full record

ArticleJournal of neuro-oncology2025

Association between sociodemographic variables and delayed patient presentation among surgical neuro-oncology patients in Mexico City: a single institution experience.

Maria A Punchak, Jose Alfonso Alvarez-Castro, Jonathan Ramos Escalante, Keren Magaly Aguilar Hidalgo, Mauricio Macias Zamarripa, Xymena Dominguez Navarrete, Fernando Castro Soto, Mackenzie Castellanos, Sergio Moreno-Jiménez, Michael T Lawton and 2 more

Abstract read
In one paragraph

Article in Journal of neuro-oncology, 2025. 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
–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

1 citing paper in PubMed.

  1. Review
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

12 authors.

Maria A PunchakDepartment of Neurosurgery, University of Pennsylvania Health System, Philadelphia, PA, 19146, USA. maria.punchak@pennmedicine.upenn.edu.
Jose Alfonso Alvarez-CastroDepartment of Neurosurgery, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico.
Jonathan Ramos EscalanteDepartment of Neurosurgery, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico.
Keren Magaly Aguilar HidalgoDepartment of Neurosurgery, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico.
Mauricio Macias ZamarripaDepartment of Neurosurgery, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico.
Xymena Dominguez NavarreteDepartment of Neurosurgery, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico.
Fernando Castro SotoDepartment of Neurosurgery, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico.
Mackenzie CastellanosPerelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Sergio Moreno-JiménezDepartment of Neurosurgery, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico.
Michael T LawtonDepartment of Neurosurgery, Barrow Global, Barrow Neurological Institute, Phoenix, AZ, USA.
Alfredo Quinones-HinojosaDepartment of Neurosurgery, Mayo Clinic, Jacksonville, FL, USA.
Sonia Iliana Mejía PérezDepartment of Neurosurgery, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMexico has the second highest incidence of central and peripheral nervous system cancer cases in Latin America, but clinical and research resources to improve oncologic care are biased towards high-income countries. We carried out a retrospective study to identify sociodemographic factors associated with more severe clinical presentation among surgical neuro-oncology who underwent surgery at a major public referral hospital in Mexico City.

methodsThe hospital electronic medical record was reviewed to identify all surgical neuro-oncology patients who underwent surgery between January 1 and December 31, 2022. Descriptive statistics were used to characterize the patient population and outcomes; statistical analysis was performed to determine association between sociodemographic variables and advanced clinical presentation.

resultsA total of 366 neuro-oncology patients underwent surgery during the study period. The median patient age was 48 (IQR 17-83). The majority of patients were female (60.1, n = 220), single (51.4%, n = 188), and 29.2% (n = 107) endorsed being the primary provider for their family. The median number of dependents per patient was 4 (IQR 2-50), while the median monthly income was 10269 Mexican pesos (MXN) (IQR 2000-13500] and the median travel distance to INNN was 49 km (IQR 22-174). On multivariate analyses, having a higher number of dependents was associated with increased odds of presenting with longer symptom duration (p = 0.01). Divorced/separated status was associated with increased odds of presenting with tumors > 35mL in volume (p = 0.04). Primary provider (p = 0.01) and higher average monthly income (p = 0.03) was associated with decreased odds of presenting with tumors > 35mL.

conclusionsThis is the first study to recognize that certain sociodemographic factors are associated with more severe clinical presentation among surgical neuro-oncology patients. Further studies are needed in order to decern specific causes for delayed presentation in this patient population in order to create targeted interventions and decrease delays in care.

Indexed as

Sociodemographic FactorsAdolescentAdultAgedAged, 80 and overDelayed DiagnosisFemaleHumansMaleMexicoMiddle AgedRetrospective StudiesSocioeconomic FactorsYoung AdultGlobal neurosurgeryMiddle-income countriesNeuro-oncologic careSurgical capacityTreatment delays

Identifiers

PMID39316314
PMCPMC11685234

What Socratic 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 Socratic graph.