Evidence map›Paper›PMID 33370310›Full record

ArticlePloS one2020

Variation in breast cancer grading in 1,636 resections assessed using control charts and in silico kappa.

Jinesa Moodley, Phillip Williams, Gabriela Gohla, Pierre Major, Michael Bonert

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in PloS one, 2020. 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
0.2field-weighted citation impact, top 55% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  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

5 authors at 3 institutions in 1 country.

Jinesa MoodleyPathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada.
Phillip WilliamsLaboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada.
Gabriela GohlaPathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada.
Pierre MajorMedical Oncology, McMaster University, Hamilton, Ontario, Canada.
Michael BonertPathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada.ORCID 0000-0002-5049-0189
McMaster University · CAMcMaster University Medical Centre · CAUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAssess interpretative variation in Nottingham grading using control charts (CCs) and in silico kappa (ISK).

methodsIn house invasive breast cancer cases (2011-2019) at two institutions with a synoptic report were extracted. Pathologist interpretative rates (PIRs) were calculated and normed for Nottingham grade (G) and its components (tubular score (TS), nuclear score (NS), mitotic score (MS)) for pathologists interpreting >35 cases. ISKs were calculated using the ordered mutually exclusive category assumption (OMECA) and maximal categorical overlap assumption (MCOA).

resultsThe study period included 1,994 resections. Ten pathologists each assessed 38-441 cases and together saw 1,636; these were further analyzed. The PIR medians (normed ranges) were: G1:24%(18-27%), G2:53%(43-56%) and G3:26%(19-33%). The MCOA ISK and the number of statistical outliers (p< 0.05/p< 0.001) to the group median interpretive rate (GMIR) for the ten pathologists was G1: 0.82(2/0 of 10), G2: 0.76(1/1), G3: 0.71(3/1), TS1: 0.79(1/0), TS2: 0.63(5/1), TS3: 0.66(5/1), NS1: 0.37(5/4), NS2: 0.60(4/3), NS3: 0.59(4/4), MS1: 0.78(3/1), MS2: 0.78(3/1), MS3: 0.77(2/0). The OMECA ISK was 0.62, 0.49, 0.69 and 0.71 for TS, NS, MS and G.

conclusionsThe nuclear score has the most outliers. NS1 appears to be inconsistently used. ISK mirrors trends in conventional kappa studies. CCs and ISK allow insight into interpretive variation and may be essential for the next generation in quality.

Indexed as

MastectomyBreast NeoplasmsCohort StudiesComputer SimulationFemaleHumansNeoplasm GradingObserver VariationReproducibility of Results

Identifiers

PMID33370310
PMCPMC7769472
OpenAlexW3117401599

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.