Evidence map›Paper›PMID 26860870›Full record

ArticlePharmacoepidemiology and drug safety2016

Validation of a coding algorithm for intra-abdominal surgeries and adhesion-related complications in an electronic medical records database.

Frank I Scott, Ronac Mamtani, Kevin Haynes, David S Goldberg, Najjia N Mahmoud, James D Lewis

Abstract readValidation Study
In one paragraph

Article in Pharmacoepidemiology and drug safety, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

6 authors.

Frank I ScottDivision of Gastroenterology, Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Ronac MamtaniCenter for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Kevin HaynesCenter for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
David S GoldbergDivision of Gastroenterology, Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Najjia N MahmoudDepartment of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
James D LewisDivision of Gastroenterology, Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA.

Funding

Physician Scientist Training in Clinical OncologyK12CA076931 · NCI · UNIVERSITY OF PENNSYLVANIA · PI STEPHEN Patrick HUNGER, LYNN M. SCHUCHTER · 1997 to 2026
$16.5M
Test-Treat strategy to prevent ulcerative colitis relapseK24DK078228 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI LEWIS, JAMES D · 2007 to 2016
$1.9M
Insulin resistance in the development and progression of invasive bladder cancerK23CA187185 · NCI · UNIVERSITY OF PENNSYLVANIA · PI MAMTANI, RONAC · 2015 to 2019
$872k
A population-based cohort to study outcomes in end-stage liver disease patientsK08DK098272 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI GOLDBERG, DAVID SETH · 2013 to 2017
$786k
Microvascular disease, statins, ACE-inhibitors and post-operative SBOK08DK095951 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI SCOTT, FRANK IRVING · 2012 to 2016
$771k
NCI NIH HHS K12 CA076931NCI NIH HHS K12-CA-076931NCI NIH HHS K23 CA187185NCI NIH HHS K23-CA187185NIDDK NIH HHS K08 DK095951NIDDK NIH HHS K08-DK095951NIDDK NIH HHS K08 DK098272NIDDK NIH HHS K08-DK098272NIDDK NIH HHS K24 DK078228NIDDK NIH HHS K24-DK078228
6 · The paper itself

Abstract

purposeEpidemiological data on adhesion-related complications following intra-abdominal surgery are limited. We tested the accuracy of recording of these surgeries and complications within The Health Improvement Network (THIN), a primary care database within the UK.

methodsIndividuals within THIN from 1995 to 2011 with an incident intra-abdominal surgery and subsequent bowel obstruction (SBO) or adhesiolysis were identified using diagnostic codes. To compute positive predictive values (PPVs), requests were sent to treating physicians of patients with these diagnostic codes to confirm the surgery, SBO, or adhesiolysis code. Completeness of recording was estimated by comparing observed surgical rates within THIN to expected rates derived from the Hospital Episode Statistics dataset within England. Cumulative incidence rates of adhesion-related complications at 5 years were compared with a previously published cohort within Scotland.

resultsTwo hundred seventeen of 245 (89%) questionnaires were returned (180 SBO and 37 adhesiolysis). The PPV of codes for surgery was 94.5% (95%CI: 91-97%). The 88.8% of procedure types were correctly coded. The PPV for SBO and adhesiolysis was 86.1% (95%CI: 80-91%) and 89.2% (95%CI: 75-97%), respectively. Colectomy, appendectomy, and cholecystectomy rates within THIN were 99%, 95%, and 84% of rates observed in national Hospital Episode Statistics data, respectively. Cumulative incidence rates of adhesion related complications following colectomy, appendectomy, and small bowel surgery were similar to those published previously.

conclusionsSurgical procedures, SBO, and adhesiolysis can be accurately identified within THIN using diagnostic codes. THIN represents a new tool for assessing patient-specific risk factors for adhesion-related complications and long-term outcomes.

Indexed as

AlgorithmsAbdomenAdultAgedCross-Sectional StudiesDatabases, FactualElectronic Health RecordsFemaleHumansIncidenceIntestinal ObstructionMaleMiddle AgedPostoperative ComplicationsPredictive Value of TestsRisk Factorspharmacoepidemiologyvalidation of small bowel obstructionvalidation of surgeries

Identifiers

PMID26860870
PMCPMC5150265

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Registered trials

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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.