Evidence map›Paper›PMID 24436641›Full record

ReviewClinics in colon and rectal surgery2013

Working with existing databases.

Melissa Murphy, Karim Alavi, Justin Maykel

Abstract readReview
In one paragraph

Review in Clinics in colon and rectal surgery, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Big Data vs. Clinical Trials in HPB Surgery.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2020
    Review
  11. Article
  12. Review
  13. Common Pitfalls of Head and Neck Research Using Cancer Registries.Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery · 2019
    Review
  14. Review
  15. Review
  16. Surgical research using national databases.Annals of translational medicine · 2016
    Review
  17. Review
  18. Article
  19. 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

3 authors.

Melissa MurphyDepartment of Colon and Rectal Surgery, University of Massachusetts Medical School, Worcester, Massachusetts.
Karim AlaviDepartment of Colon and Rectal Surgery, University of Massachusetts Medical School, Worcester, Massachusetts.
Justin MaykelDepartment of Colon and Rectal Surgery, University of Massachusetts Medical School, Worcester, Massachusetts.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Outcomes research has established itself as an integral part of surgical research as physicians and hospitals are increasingly required to demonstrate attainment of performance markers and surgical safety indicators. Large-volume and clinical and administrative databases are used to study regional practice pattern variations, health care disparities, and resource utilization. Understanding the unique strengths and limitations of these large databases is critical to performing quality surgical outcomes research. In the current work, we review the currently available large-volume databases including selection processes, modes of analyses, data application, and limitations.

Indexed as

administrativedatabasesoutcomesresearch

Identifiers

PMID24436641
PMCPMC3699145

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.