Evidence map›Paper›PMID 25772271›Full record

SynthesisInternational journal of colorectal disease2015

Visceral obesity determined by CT scan and outcomes after colorectal surgery; a systematic review and meta-analysis.

Hamit Cakir, Colin Heus, Tjeerd J van der Ploeg, Alexander P J Houdijk

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in International journal of colorectal disease, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
2.9field-weighted citation impact, top 7% 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

39 citing papers in PubMed, 74 citations in OpenAlex.

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  18. Observational
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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 1 institution in 1 country.

Hamit CakirDepartment of Surgery, Medical Centre Alkmaar, PO 1815 JD, Alkmaar, The Netherlands, cakir_hamit@hotmail.com.
Colin Heus
Tjeerd J van der Ploeg
Alexander P J Houdijk
Medisch Centrum Alkmaar · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVisceral obesity may affect outcome after colorectal surgery. The visceral fat area as determined by CT scanning is considered the standard in the detection of visceral obesity.

methodA systematic review was performed of trials investigating the effect of visceral obesity on outcomes of patients with colorectal cancer with no radiotherapy or chemotherapy and measured by CT scanning. The main endpoints were primary hospital stay, morbidity, operative time and blood loss. Quality assessment and data extraction were performed independently by two observers.

resultsSeven studies were eligible for analysis, including 1230 patients. Primary hospital stay (weighted mean difference 1.16 days, 95% CI 0.0.05 to 2.28 days, p = 0.04), morbidity rates (RR 0.15, 95% CI 0.10 to 0.21, p < 0.00001) and operative time (weighted mean difference 20.47 min, 95% CI 12.76 to 28.17 min, p < 0.00001) were significantly higher for visceral obese patients. No difference was found in blood loss.

conclusionVisceral obesity leads to a longer hospital stay, higher morbidity and longer operative time after elective colon surgery. These findings show that the preoperative CT scan for detecting disseminated disease can be used to assess visceral obesity and helps in risk profiling patients undergoing elective colon surgery.

Indexed as

Colorectal SurgeryTomography, X-Ray ComputedAgedBlood Loss, SurgicalDemographyFemaleHumansIntra-Abdominal FatLength of StayMaleMiddle AgedMorbidityOperative TimeOutcome Assessment, Health CareTreatment Outcome

Identifiers

PMID25772271
OpenAlexW2098832534

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.