Evidence map›Paper›PMID 25863489›Full record

ArticleEndocrine2015

Adrenalectomy for metastasis: long-term results and predictors of survival.

Leonardo Solaini, Silvia Ministrini, Matteo Tomasoni, Giulia Merigo, Giacomo Gaverini, Giam Paolo Bertoloni, Guido A M Tiberio

Abstract read
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In one paragraph

Article in Endocrine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Prognostic factors after adrenalectomy for adrenal metastasis.International urology and nephrology · 2020
    Article
  6. Article
  7. Article
  8. 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

7 authors.

Leonardo SolainiDepartment of Medical and Surgical Sciences, Surgical Clinic, University of Brescia, Pl.e Spedali Civili 1, Brescia, Italy, leonardosolaini@gmail.com.
Silvia Ministrini
Matteo Tomasoni
Giulia Merigo
Giacomo Gaverini
Giam Paolo Bertoloni
Guido A M Tiberio

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to analyze our experience with surgically treated isolated adrenal metastases in order to find those factors which can significantly affect survival. This method includes a retrospective single-center chart review. We evaluated how overall survival and disease-free survival (DFS) were influenced by demographic, tumor, and procedure-related variables. Thirty-seven adrenalectomies were performed in 34 patients. Procedures included 25 laparoscopic and 12 open adrenalectomies. Median follow-up was 49 months. Median overall survival was 63 months. Patients submitted to laparoscopic approach had a median survival of 57 months while it was 65 months for those who underwent open procedure (p = 0.67). DFS was 30 months, and these were 35 and 25 months after laparoscopic approach and open approach, respectively (p = 0.59). The concurrent resection of the adrenal metastasis with the primary tumor was the only factor influencing DFS (HR 6.8 95 % CI 1.2-37.3, p = 0.02). Patients with non-small cell lung cancer (n = 15) had a median survival of 63 months and DFS of 35 months. Our experience confirms that adrenalectomy, regardless of the surgical approach, can offer durable disease-free and overall survival outcomes for surgical candidates with isolated adrenal metastases.

Indexed as

AdrenalectomyAdrenal Gland NeoplasmsAdultAgedCarcinoma, Non-Small-Cell LungDisease-Free SurvivalFemaleFollow-Up StudiesHumansLaparoscopyLung NeoplasmsMaleMiddle AgedNeoplasm MetastasisRetrospective StudiesTreatment Outcome

Identifiers

What OpenQuestion holds

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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.