Evidence map›Paper›PMID 30538373›Full record

ArticleIndian journal of surgical oncology2018

Managing Synchronous Liver Metastases in Colorectal Cancer.

Bulent Cetin, Irem Bilgetekin, Mustafa Cengiz, Ahmet Ozet

Open access · bronzeAbstract read
In one paragraph

Article in Indian journal of surgical oncology, 2018. 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
0.4field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 9 citations in OpenAlex.

  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

4 authors at 3 institutions in 1 country.

Bulent Cetin1Department of Internal Medicine, Division of Medical Oncology, Recep Tayyip Erdogan University Faculty of Medicine, 53200 Rize, Turkey.
Irem Bilgetekin2Department of Internal Medicine, Division of Medical Oncology, Gazi University Faculty of Medicine, Ankara, Turkey.
Mustafa Cengiz3Department of Internal Medicine, Division of Gastroenterology, Dr. A. Y. Ankara Oncology Training and Research Hospital, Ankara, Turkey.
Ahmet Ozet2Department of Internal Medicine, Division of Medical Oncology, Gazi University Faculty of Medicine, Ankara, Turkey.
Gazi University · TRMemorial Ankara Hospital · TRRecep Tayyip Erdoğan University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The most common site of blood-borne metastases from colorectal cancers (CRC) is the liver. Resection of (liver) metastases is a part of standard treatment of metastatic colorectal cancer. Hepatic resection is the first-line treatment of liver metastases, with 5-year survival rates between 25 and 58%. The enhanced efficacy of systemic chemotherapeutic regimens has increased tumor response rates and improved the progression-free and overall survival of patients with these malignancies. In approximately 20% of patients with initially unresectable liver metastases, the metastases may become resectable after administration of neoadjuvant chemotherapy. Unresectable liver metastases can be managed with systemic therapy and/or a variety of liver-directed techniques such as radiofrequency ablation, hepatic artery infusion, or yttrium-90 radioembolization. Our examination of the literature led us to propose a new patient-oriented algorithm to guide clinicians' decisions on the best choice of upfront therapy for CRC and synchronous liver metastases. The need for multidisciplinary consensus has become especially important for metastatic CRC.

Indexed as

Colorectal cancerSurgerySynchronous liver metastasesSystemic therapy

Identifiers

PMID30538373
PMCPMC6265172
OpenAlexW2804490353

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.