Evidence map›Paper›PMID 21359904›Full record

ArticleSurgical endoscopy2011

A review for clinical outcomes research: hypothesis generation, data strategy, and hypothesis-driven statistical analysis.

David C Chang, Mark A Talamini

Abstract read
In one paragraph

Article in Surgical endoscopy, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Surgical research using national databases.Annals of translational medicine · 2016
    Review
  2. Observational
  3. Working with existing databases.Clinics in colon and rectal surgery · 2013
    Review
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.

David C ChangDepartment of Surgery, University of California San Diego, 200 Arbor Drive, #8400, San Diego, CA 92103, USA. dchang1@ucsd.edu
Mark A Talamini

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, more and more large, population-level databases have become available for clinical research. The size and complexity of these databases often present a methodological challenge for investigators. We propose that a "protocol" may facilitate the research process using these databases. In addition, much like the structured History and Physical (H&P) helps the audience appreciate the details of a patient case more systematically, a formal outcomes research protocol can also help in the systematic evaluation of an outcomes research manuscript.

Indexed as

Databases, FactualData Interpretation, StatisticalOutcome Assessment, Health CareResearch DesignSurgical Procedures, OperativeHumans

Identifiers

PMID21359904
PMCPMC3116115

What OpenQuestion 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 OpenQuestion graph.