meta-manuscript-assembly

安装量: 36
排名: #19165

安装

npx skills add https://github.com/htlin222/dotfiles --skill meta-manuscript-assembly

Meta-Analysis Manuscript Assembly Complete systematic review and meta-analysis manuscripts for journal submission by creating publication-ready tables, figures, and references. When to Use Completing meta-analysis manuscript after analyses are done Creating tables from meta-analysis results Assembling multi-panel figures from forest/funnel plots Generating BibTeX references for systematic reviews Formatting manuscripts for high-impact journals (Lancet, JAMA, NEJM) Prerequisites Before using this skill, ensure you have: Completed meta-analyses with results tables (CSV format) Generated individual figures (PNG at 300 DPI) Manuscript text sections written (Abstract, Introduction, Methods, Results, Discussion) List of all citations needed Workflow Phase 1: Tables Creation Create comprehensive tables from analysis results: Main Text Tables Table 1: Trial Characteristics Extract from extraction.csv or similar Include: NCT number, first author, year, design, sample sizes, intervention details, follow-up Format as markdown with abbreviations section Table 2: Efficacy Outcomes Summary Combine results from all meta-analyses (pCR, survival outcomes) Include: effect estimates, 95% CI, p-values, I², absolute benefits, NNT Add GRADE certainty ratings Table 3: Safety Outcomes Summary From safety meta-analysis results Include: adverse events, rates, RR/OR, NNH Add clinical management guidance Supplementary Tables Risk of Bias Assessment Use RoB 2 or ROBINS-I tool format Domain-by-domain assessment for each trial Overall risk rating with justifications GRADE Evidence Profile Summary of Findings table format All outcomes with certainty ratings Domain-specific justifications (bias, inconsistency, indirectness, imprecision) Detailed Results Tables Individual trial results Subgroup analyses Sensitivity analyses Phase 2: Figure Assembly Create multi-panel publication-ready figures: Tool: Python Script with PIL/Pillow

Create assemble_figures.py

from PIL import Image , ImageDraw , ImageFont from pathlib import Path def add_panel_label ( img , label , position = 'top-left' , font_size = 80 , offset = ( 40 , 40 ) ) : """Add A, B, C labels to panels""" draw = ImageDraw . Draw ( img )

Try to use system font

try : font = ImageFont . truetype ( "/System/Library/Fonts/Helvetica.ttc" , font_size ) except : font = ImageFont . load_default ( ) x , y = offset

Draw white background box for visibility

bbox

draw . textbbox ( ( x , y ) , label , font = font ) padding = 10 draw . rectangle ( [ bbox [ 0 ] - padding , bbox [ 1 ] - padding , bbox [ 2 ] + padding , bbox [ 3 ] + padding ] , fill = 'white' , outline = 'black' , width = 2 ) draw . text ( ( x , y ) , label , fill = 'black' , font = font ) return img def create_multi_panel_figure ( images_list , output_path , labels = [ 'A' , 'B' , 'C' ] , spacing = 40 ) : """Combine multiple images vertically with labels"""

Add labels to images

labeled_images

[ add_panel_label ( img , label ) for img , label in zip ( images_list , labels ) ]

Calculate dimensions

max_width

max ( img . width for img in labeled_images ) total_height = sum ( img . height for img in labeled_images ) + spacing * ( len ( labeled_images ) - 1 )

Create combined image

combined

Image . new ( 'RGB' , ( max_width , total_height ) , 'white' )

Paste images

y_offset

0 for img in labeled_images : combined . paste ( img , ( 0 , y_offset ) ) y_offset += img . height + spacing

Save at 300 DPI

combined
.
save
(
output_path
,
dpi
=
(
300
,
300
)
)
return
output_path
Typical Figure Structure
Main Text:
Figure 1: Multi-panel efficacy (pCR, EFS, OS forest plots)
Figure 2: Subgroup analysis (e.g., by biomarker status)
Figure 3: Safety + Publication bias (SAE forest plot, funnel plot)
Supplementary:
Supp Figure 1: Sensitivity analyses (leave-one-out plots)
Supp Figure 2: Publication bias (funnel plots for all outcomes)
Phase 3: References Management
Create comprehensive BibTeX file:
Steps:
Extract all citations
from manuscript using grep
grep
-E
"¹|²|³|⁴|⁵|⁶|⁷|⁸|⁹|⁰|[\d+]"
manuscript_sections.md
Create BibTeX entries
for each reference
Include DOI for all entries
Use standardized journal abbreviations (Index Medicus)
Format author names correctly
Create mapping document
Map superscripts (¹, ², ³) to BibTeX keys
Document citation locations in manuscript
Create usage guide
Pandoc conversion instructions
Zotero import instructions
Manual formatting examples (Lancet, JAMA style)
Phase 4: Figure Legends
Write comprehensive legends for all figures:
Legend Structure:
**
Panel A. Outcome Name
**
Description of what the panel shows. Forest plot showing [effect measure] for [outcome]
across [N] trials ([total participants]). [Statistical method used]. [Key result].
Horizontal lines represent 95% confidence intervals; diamond represents pooled effect.
Vertical line at [null value] indicates no treatment effect.
**
Abbreviations
**
List all abbreviations used.
Include:
Statistical methods (random-effects, Hartung-Knapp adjustment)
Heterogeneity measures (I², Cochran's Q)
Clinical interpretations
Abbreviations definitions
Phase 5: Quality Assurance
Before submission, verify:
Tables
All data matches analysis results exactly
Abbreviations defined
Footnotes explain all symbols
Column/row headers clear
Statistical notation consistent
Figures
All figures at 300 DPI minimum
Panel labels (A, B, C) visible and not obscuring data
Legends match figures exactly
Font sizes readable (≥8pt for final print size)
Color schemes work in grayscale
References
All citations have corresponding references
Reference numbers sequential
DOIs correct and working
Journal abbreviations standardized
Author names match original publications
Output Structure
07_manuscript/
├── tables/
│ ├── Table1_Trial_Characteristics.md
│ ├── Table2_Efficacy_Summary.md
│ ├── Table3_Safety_Summary.md
│ ├── SupplementaryTable1_RiskOfBias.md
│ ├── SupplementaryTable2_GRADE_Profile.md
│ └── ...
├── figures/
│ ├── Figure1_Efficacy.png (300 DPI)
│ ├── Figure2_Subgroup.png (300 DPI)
│ ├── Figure3_Safety.png (300 DPI)
│ ├── SupplementaryFigure1_Sensitivity.png
│ └── ...
├── references.bib
├── FIGURE_LEGENDS.md
├── CITATION_MAPPING.md
└── REFERENCES_USAGE_GUIDE.md
Time Estimates
Tables creation: 2-3 hours
Figure assembly: 1-2 hours
References: 1-2 hours
Legends: 1 hour
QA: 1 hour
Total: 6-9 hours
Journal-Specific Formatting
Lancet Oncology
Word limit: 4000-5000 words
Tables: 3-4 main text, unlimited supplementary
Figures: 3-4 main text, unlimited supplementary
References: Vancouver style, 30-40 typical
Resolution: 300 DPI minimum
JAMA
Word limit: 3500 words
Tables: 4 max
Figures: 4 max
References: 40 max
Resolution: 300-600 DPI
New England Journal of Medicine
Word limit: 3000 words
Tables: 3 max
Figures: 3 max
References: 40 max
Resolution: 300 DPI minimum
Common Pitfalls to Avoid
Tables
Don't mix effect measures (RR vs OR vs HR) without clear labeling
Figures
Don't compress below 300 DPI
References
Don't use auto-generated citations without verification
Legends
Don't omit statistical methods or abbreviations
Overall
Don't submit without independent verification of all numbers
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