Evidence map›Paper›PMID 22322532›Full record

ArticleInternational journal of colorectal disease2012

Surgical treatment of colorectal cancer in patients aged over 80 years.

Jyrki T Mäkelä, Heikki Kiviniemi

Abstract read
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In one paragraph

Article in International journal of colorectal disease, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Surgery for colorectal cancer in elderly patients: how can we improve outcome?Journal of cancer research and clinical oncology · 2017
    Article
  3. 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

2 authors at 1 institution in 1 country.

Jyrki T MäkeläInstitute of Clinical Medicine, Department of Surgery, Oulu University Hospital, PO Box 22, 90029 OYS Oulu, Finland. jyrki.makela@oulu.fi
Heikki Kiviniemi
Oulu University Hospital · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of this study was to identify the clinical factors and tumour characteristics that predict the outcome in patients older than 80 years with colorectal cancer. PATIENTS AND

methodsOne hundred and four patients with colorectal cancer aged over 80 years were identified from a computer database, and their clinical variables were analysed by both univariate and multivariate analyses.

resultsAll 104 patients underwent resective surgery, 87% radical and 13% palliative resection. Postoperative mortality was 5%, being associated with a number of coexisting diseases and the presence of postoperative complications, especially anastomotic leakage. The cumulative 5-year survival was 33%, the median survival was 31 months and the cancer-specific 5-year survival was 36%. The recurrence rate after radical surgery was 30%, being 13%, 25%, 44% and 100% in the Union for International Cancer Control stages I, II, III and IV. Kaplan-Meier estimates indicated that age, number of underlying diseases, radicality of operation, Dukes' staging, size of tumour, number of lymph node metastasis, metastasised disease, venous invasion and recurrent disease were significant predictors of survival, but in the Cox regression model, only venous invasion was an independent prognostic factor of survival.

conclusionsLow mortality and acceptable survival can be achieved even in very elderly patients with colorectal cancer. Venous invasion is an independent predictor of survival.

Indexed as

Aged, 80 and overColorectal NeoplasmsFemaleFinlandHumansKaplan-Meier EstimateMaleProportional Hazards Models

Identifiers

PMID22322532
OpenAlexW2120309265

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.