Evidence map›Paper›PMID 35004076›Full record

ArticleCureus2022

Laparoscopic Cholecystectomy: Evaluation of Web-Based Information.

Sreelakshmi Mallappa, Ramawad Soobrah

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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.

Sreelakshmi MallappaDepartment of General and Colorectal Surgery, The Hillingdon Hospitals NHS Foundation Trust, Uxbridge, GBR.
Ramawad SoobrahDepartment of Breast Surgery, Wellkin Hospital, Moka, MUS.
Hillingdon Hospitals NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Laparoscopic cholecystectomy (LC), the gold standard treatment for symptomatic gallstone disease, is the most common procedure performed by general surgeons worldwide. The internet remains to be a popular source of medical information. Our aim was to evaluate the quality and readability of information available on the web for patients undergoing LC and to compare the information provided by the National Health Service (NHS) and non-NHS websites.  Methods We searched for the keywords 'laparoscopic cholecystectomy' using the three most popular search engines (Google, Yahoo and MSN) and looked at the first 50 websites only. The readability of each document was assessed using the Flesch Reading Ease (FRE) score. We checked Health on the Net Foundation Code of Conduct (HONcode) certification status, whether the sites had been checked by an expert and when the information was last updated. Results Fifty-five of the possible 150 sites were analysed thus excluding repetitions (n=65), irrelevant content (n=26) or inaccessible links (n=3). Only seven of those were HONcode-certified. The mean FRE score was 46 (range 0-68, SD=16.13). There were 13 NHS sites and 42 non-NHS sites. The mean FRE score for the NHS sites was significantly better compared to the non-NHS sites [58.31 (SD=5.01) vs 42.21 (SD=16.35); p=0.001]. Fifty-four per cent (54%) of the analysed websites had been checked by a medical expert and 22% were updated within the last year. Conclusions This study highlights the poor quality and readability of information on medical websites. The information provided by NHS sites have significantly better readability compared to non-NHS sites.

Indexed as

healthcare informationinformation qualityinternetlaparoscopic cholecystectomyreadability

Identifiers

PMID35004076
PMCPMC8722460
OpenAlexW4206690269

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.