Evidence map›Paper›PMID 41635341›Full record

ArticleCureus2026

A Highly Uncommon Presentation: A Consecutive Three-Case Series of Malignant Ureteral Obstruction in Long-Term Survivors of Non-small Cell Lung Cancer.

Tomoyuki Araya, Toshiyuki Kita, Takayuki Higashi, Ryo Hara, Hazuki Takato

Abstract readCase Reports
In one paragraph

Article in Cureus, 2026. 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. Article
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

5 authors.

Tomoyuki ArayaRespiratory Medicine, National Hospital Organization (NHO) Kanazawa Medical Center, Kanazawa, JPN.
Toshiyuki KitaRespiratory Medicine, National Hospital Organization (NHO) Kanazawa Medical Center, Kanazawa, JPN.
Takayuki HigashiRespiratory Medicine, National Hospital Organization (NHO) Kanazawa Medical Center, Kanazawa, JPN.
Ryo HaraRespiratory Medicine, National Hospital Organization (NHO) Kanazawa Medical Center, Kanazawa, JPN.
Hazuki TakatoRespiratory Medicine, National Hospital Organization (NHO) Kanazawa Medical Center, Kanazawa, JPN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Malignant ureteral obstruction (MUO) is an exceptionally rare complication in non-small cell lung cancer (NSCLC), particularly among long-term survivors. We report three cases of MUO arising in patients with stage IV or recurrent NSCLC, all of whom had survived 3.6-4.0 years after their initial diagnosis. Two of the three cases harbored epidermal growth factor receptor (EGFR) mutations, and MUO in EGFR-mutated NSCLC has not been previously described, suggesting a potential association with prolonged survival under targeted therapy. All patients developed hydronephrosis and renal dysfunction requiring ureteral stent placement. Their clinical courses diverged: one EGFR-mutated patient maintained preserved renal function and remained free from urinary tract infection for three years and four months following stent placement, whereas the remaining two patients experienced rapid disease progression and died within months. These cases indicate that prompt recognition of MUO and early ureteral decompression may meaningfully improve symptoms and preserve renal function, thereby contributing to favorable clinical trajectories in selected long-term survivors. As patient survival continues to lengthen with modern systemic therapies, optimizing drainage strategies will become increasingly important.

Indexed as

advanced non-small cell lung canceregfr mutationslong term survivormalignant ureteral obstructionureteral stent

Identifiers

PMID41635341
PMCPMC12862221

What OpenQuestion holds

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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.