Evidence map›Paper›PMID 42742899›Full record

ReviewCurrent oncology reports2026

Gender, Sex and Other Factors in the Development of Neuroendocrine Neoplasms.

Reece Abrahall, Mohamed Mortagy, Yooyun Chung, John Ramage, Rajaventhan Srirajaskanthan, Benjamin White

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current oncology reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Reece AbrahallMedicine Division, Hampshire Hospitals NHS Foundation Trust, Basingstoke, UK. Reece.Abrahall@hhft.nhs.uk.
Mohamed MortagyMedicine Division, Hampshire Hospitals NHS Foundation Trust, Basingstoke, UK.
Yooyun ChungInstitute of Liver Studies, King's College Hospital NHS Foundation Trust, London, UK.
John RamageMedicine Division, Hampshire Hospitals NHS Foundation Trust, Basingstoke, UK.
Rajaventhan SrirajaskanthanInstitute of Liver Studies, King's College Hospital NHS Foundation Trust, London, UK.
Benjamin WhiteMedicine Division, Hampshire Hospitals NHS Foundation Trust, Basingstoke, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewTo examine how biological sex and gender influence the tumorigenesis of neuroendocrine neoplasms (NEN), integrating epidemiological evidence with hormonal, molecular, lifestyle and environmental factors. RECENT

findingsRecent population-based studies demonstrate sex differences in NEN incidence, pathological characteristics and survival across multiple anatomical sites. Emerging evidence suggests that sex-hormone signalling, epigenetic regulation and the tumour microenvironment may contribute to these differences. Lifestyle and metabolic factors, including smoking and obesity, may further modify NEN susceptibility and interact with sex- and gender-related factors. Biological sex appears to be an important modifier of NEN development rather than simply a demographic characteristic. However, mechanistic evidence remains limited and the contribution of gender is poorly characterised. Prospective, sex-stratified studies integrating hormonal, molecular and environmental data are required to clarify these interactions and their potential clinical relevance.

Indexed as

Neuroendocrine TumorsEpigenesis, GeneticFemaleGonadal Steroid HormonesHumansMaleRisk FactorsSex FactorsGonadal Steroid HormonesBiological sexGenderNeuroendocrine neoplasmsNeuroendocrine tumoursOestrogenSex hormonesTumorigenesis

Identifiers

What OpenQuestion holds

Textmetadata
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.