Evidence map›Paper›PMID 37894437›Full record

ReviewCancers2023

Pancreatic Cancer Health Disparity: Pharmacologic Anthropology.

Nathan R Wall, Ryan N Fuller, Ann Morcos, Marino De Leon

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Palliative care in pancreatic cancer: effects on symptom burden, survival, and place of death.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Article
  4. Article
  5. 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

4 authors at 1 institution in 1 country.

Nathan R WallDivision of Biochemistry, Department of Basic Science, Center for Health Disparities and Molecular Medicine, Loma Linda University, Loma Linda, CA 92350, USA.ORCID 0000-0002-3235-4386
Ryan N FullerDivision of Biochemistry, Department of Basic Science, Center for Health Disparities and Molecular Medicine, Loma Linda University, Loma Linda, CA 92350, USA.ORCID 0000-0001-7067-4500
Ann MorcosDivision of Biochemistry, Department of Basic Science, Center for Health Disparities and Molecular Medicine, Loma Linda University, Loma Linda, CA 92350, USA.
Marino De LeonDivision of Physiology, Department of Basic Science, Center for Health Disparities and Molecular Medicine, Loma Linda University, Loma Linda, CA 92350, USA.ORCID 0000-0001-6576-785X
Loma Linda University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic cancer (PCa) remains a formidable global health challenge, with high mortality rates and limited treatment options. While advancements in pharmacology have led to improved outcomes for various cancers, PCa continues to exhibit significant health disparities, disproportionately affecting certain populations. This paper explores the intersection of pharmacology and anthropology in understanding the health disparities associated with PCa. By considering the socio-cultural, economic, and behavioral factors that influence the development, diagnosis, treatment, and outcomes of PCa, pharmacologic anthropology provides a comprehensive framework to address these disparities and improve patient care.

Indexed as

health disparitiespancreatic cancerpatient carepharmacologic anthropologysocio-cultural factors

Identifiers

PMID37894437
PMCPMC10605341
OpenAlexW4387812042

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.