Evidence map›Paper›PMID 21886436›Full record

ArticleThe Canadian journal of plastic surgery = Journal canadien de chirurgie plastique2010

Factors affecting surgical wait times for breast reconstruction.

Kirsty U Boyd, Claire Lf Temple, Douglas C Ross

Abstract read
In one paragraph

Article in The Canadian journal of plastic surgery = Journal canadien de chirurgie plastique, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

  1. Article
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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

3 authors.

Kirsty U BoydDivision of Plastic Surgery, Department of Surgery, University of Western Ontario;
Claire Lf Temple
Douglas C Ross

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo examine factors that affect wait times for women seeking breast reconstruction at a Canadian academic centre.

methodsA retrospective audit of 57 women seeking breast reconstruction over a three-year period was completed. Comparisons of wait times were made considering the surgical pathology, timing of reconstruction (immediate versus delayed), urgency of pathology, method of reconstruction (implant versus autologous) and the number of surgeons involved. Specifically, the wait times from referral to specialist consultation, consultation to surgery, and referral to surgery were examined.

resultsWOMEN WITH ACTIVE CANCER (DUCTAL CARCINOMA IN SITU: 43 days, invasive cancer: 40 days) had shorter wait times compared with those who had no active cancer (benign/high risk: 242 days, previously treated cancer: 343 days) (P<0.05). Women seeking delayed reconstruction had longer wait times (359 days) from referral to surgery than women seeking immediate reconstruction (98 days) (P<0.0001). Women seeking reconstruction at the time of mastectomy, with benign/high-risk disease, waited longer (242 days) than those with ductal carcinoma in situ (43 days) or invasive cancer (40 days) (P<0.001). Wait times for autologous free tissue transfer (213 days) were not significantly longer compared with implant reconstruction (116 days) (P=0.27). Women with acute cancer experienced similar wait times for implant reconstruction (44 days) as for a free tissue transfer (56 days) (P=0.46). Women with no acute cancer had similar wait times for implant (239 days) as free tissue transfer (369 days) (P=0.25). Patients requiring only plastic surgeons involved in the reconstructive effort waited longer (one surgeon: 299 days, two surgeons: 550 days) than patients requiring either two plastic surgeons and one general surgeon (130 days) or one plastic surgeon and one general surgeon (82 days) (P<0.05). Although more coordination is required with three surgeons, this is frequently associated with a diagnosis of acute cancer and, therefore, wait times are shorter.

Indexed as

Breast reconstructionWait times

Identifiers

PMID21886436
PMCPMC2940968

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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.