Evidence map›Paper›PMID 42583102›Full record

ReviewESMO gastrointestinal oncology2026

Management of oligometastatic anal cancer-a literature review and a proposed treatment algorithm.

A Johnsson, K L Wind, M P Nilsson

Abstract readReview
In one paragraph

Review in ESMO gastrointestinal oncology, 2026. 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.

  1. Article
  2. 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

3 authors.

A JohnssonDepartment of Oncology, Skane University Hospital, Lund, Sweden.
K L WindDepartment of Experimental Clinical Oncology, Aarhus University Hospital, Aarhus, Denmark.
M P NilssonDepartment of Oncology, Skane University Hospital, Lund, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oligometastatic squamous-cell carcinoma of the anus (omSCCA) is a very rare condition. The literature is sparse, and treatment guidelines are lacking. The aim of the present work was to carry out a literature review and to propose an algorithm for intensified treatment of patients with omSCCA. A PubMed search was carried out, which resulted in 15 relevant publications that included any type of definitive metastasis-directed therapy of mSCCA. All of the studies were retrospective. The local treatments were mostly surgical resections of liver metastases, but also radiofrequency ablation and radiotherapy were used, for metastases located in the liver, lungs, or other organs. The reported median overall survival across the studies ranged from 22 to 53 months. Three of the studies described extended-field chemoradiation of para-aortic lymph node metastases (M1 disease), suggesting long-term survival in up to half of the patients. Taken together, these results indicate that a subset of patients with omSCCA may benefit from a multimodal approach, including definitive metastasis-directed therapy given with curative intent. Based on the literature review and clinical experience, we propose a treatment algorithm, including metastasis-directed treatment as well as chemoradiation and induction chemotherapy. The choice of treatment and sequencing depends on the location and extent of the metastases and whether the metastases are synchronous or metachronous. In the absence of strong evidence, the proposed algorithm should be regarded as a starting point for discussions rather than detailed guidelines. Further studies and international collaborations are needed to optimize the treatment of omSCCA.

Indexed as

definitive metastasis-directed treatmentoligometastatic anal cancertreatment algorithm

Identifiers

PMID42583102
PMCPMC13459591

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Registered trials

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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.