Evidence mapPaperPMID 35451193Full record

SynthesisInternational wound journal2022

The effect of preoperative smoking and smoke cessation on wound healing and infection in post-surgery subjects: A meta-analysis.

Dazhen Liu, Long Zhu, Changhai Yang

RetractedOpen access · goldAbstract readMeta-AnalysisRetracted Publication
In one paragraph

Synthesis in International wound journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 22 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 pooled it
20.3field-weighted citation impact, top 1% 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

22 citing papers in PubMed, 3 syntheses or guidelines pooled it, 42 citations in OpenAlex.

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  19. Maximizing Readmission Reduction in Colon Cancer Patients.The Journal of surgical research · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Dazhen LiuDepartment of Urology, General Hospital, Tianjin Medical University, Tianjin, China.
Long ZhuDepartment of Urology, General Hospital, Tianjin Medical University, Tianjin, China.
Changhai YangDepartment of Urology, General Hospital, Tianjin Medical University, Tianjin, China.ORCID https://orcid.org/0000-0003-3898-2911
Tianjin Medical University General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A meta-analysis was performed to evaluate the preoperative smoking and smoke cessation on wound healing and infection in post-surgery subjects. A systematic literature search up to January 2022 incorporated 11 trials involving 218 567 subjects after post-surgery at the beginning of the study; 176 670 were smoke cessation or non-smokers, and 41 897 were smokers. Statistical tools like the dichotomous method were used within a random or fixed-influence model to establish the odds ratio (OR) with 95% confidence intervals (CIs) to evaluate the influence of preoperative smoking and smoke cessation on wound healing and infection in post-surgery subjects. Smoke cessation or non-smokers had significantly lower postoperative wound healing problems (OR, 0.59; 95% confidence interval, 0.43-0.82, P < .001), and surgical site wound infection (OR, 0.74; 95% CI, 0.63-0.87, P < .001) compared with smokers in post-surgery subjects. Smoke cessation or non-smokers had significantly lower postoperative wound healing problems, and surgical site wound infection compared with smokers in post-surgery subjects. Furthermore, evidence is needed to confirm the outcomes.

Indexed as

Smoking CessationHumansOdds RatioSmokingSurgical Wound InfectionWound Healingnon-smokerpostoperative wound healing problemspost-surgerysmoke cessationsurgical site wound infection

Identifiers

PMID35451193
PMCPMC9705191
OpenAlexW4224286092

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.